{"meta":{"query_hash":"6756727cebb8","filters":{"venue":"Modeling and Artificial Intelligence in Ophthalmology"},"cohort_total":1,"direct_labels_cover":0,"predictions_cover":1,"exported":1,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/6756727cebb8","api":"https://metacan.xera.ac/api/v1/cohort?venue=Modeling+and+Artificial+Intelligence+in+Ophthalmology"},"results":[{"id":"W4298122954","doi":"10.35119/maio.v4i1.121","title":"From your kidneys to your eyes: lessons from computational kidney models","year":2022,"lang":"en","type":"article","venue":"Modeling and Artificial Intelligence in Ophthalmology","topic":"Circadian rhythm and melatonin","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Kidney; Renal function; Function (biology); Mass transport; Cotransporter; Computer science; Membrane; Chemistry; Medicine; Biochemical engineering; Internal medicine; Biology; Cell biology; Biochemistry; Engineering; Sodium","score_opus":0.186637329418337,"score_gpt":0.3723630188341871,"score_spread":0.1857256894158501,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4298122954","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029547978,0.051328916,0.8357772,0.050719533,0.0017077874,0.000039677245,0.0005729399,0.0005195799,0.02978636],"genre_scores_gemma":[0.595945,0.10574039,0.27192676,0.0065543847,0.0029571045,0.00035503818,0.00076213095,0.0006959475,0.0150633],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975723,0.00010433571,0.000018710052,0.00003815122,0.00006227063,0.000019391988],"domain_scores_gemma":[0.9983316,0.0012156769,0.00005649488,0.00011088916,0.00017192369,0.000113342714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009391861,0.0007739563,0.001222132,0.0005528031,0.00050560763,0.0018227285,0.0018040016,0.0017520373,0.0021709672],"category_scores_gemma":[0.0039020255,0.0005103221,0.0013286651,0.0004611267,0.002306019,0.0030310205,0.0016963151,0.0031266152,0.0005582271],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034191522,0.00003106305,0.0014527295,0.00051495136,0.00010771,0.00022383971,0.00045919686,0.3696573,0.0005781795,0.5795583,0.011726321,0.035656113],"study_design_scores_gemma":[0.000020647674,0.000018340847,0.0003039242,0.00020504888,0.000023563278,0.00012345886,0.00014370335,0.2804986,0.00030286552,0.69317394,0.02514771,0.000038280763],"about_ca_topic_score_codex":0.006060718,"about_ca_topic_score_gemma":0.004127391,"teacher_disagreement_score":0.006060718,"about_ca_system_score_codex":0.0010179738,"about_ca_system_score_gemma":0.0014603302,"threshold_uncertainty_score":0.012050867},"labels":[],"label_agreement":null}]}