{"id":"W4393797205","doi":"10.5281/zenodo.7869221","title":"Opaline","year":2023,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Drug-Induced Ocular Toxicity","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agence Nationale de la Recherche","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009007186,0.0003150249,0.0004437678,0.0005967645,0.00122907,0.0004667304,0.001180963,0.0002985279,0.01014264],"category_scores_gemma":[0.002375383,0.0003259006,0.0001537317,0.0009550662,0.0001795269,0.0001050072,0.002020352,0.001035689,0.2091822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003274411,"about_ca_system_score_gemma":0.00001494002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009858786,"about_ca_topic_score_gemma":0.000001539387,"domain_scores_codex":[0.9971414,0.0003150484,0.0004201385,0.000723001,0.0008391544,0.0005612125],"domain_scores_gemma":[0.9973835,0.00003203993,0.0001836795,0.001337291,0.0006607397,0.000402741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005068637,0.0001896467,1.198082e-7,0.000330284,0.0001253924,0.0002674541,0.00004514458,0.000005335496,0.0005538979,0.00003425975,0.9873787,0.01101907],"study_design_scores_gemma":[0.0007794459,0.0002372482,0.0001194449,0.0001807348,0.0001259454,0.0003834713,0.00005336323,0.00003500301,0.0001228317,0.00002328328,0.9976543,0.0002849914],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002317714,0.00005875457,0.00006083315,0.001077298,0.0003401067,0.000803054,0.9823524,0.001473312,0.0136025],"genre_scores_gemma":[0.0001722467,0.0002807749,0.00007545058,0.000418053,0.0006968247,4.806172e-8,0.992303,0.00294145,0.003112212],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1990396,"threshold_uncertainty_score":0.9999193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05793605273893978,"score_gpt":0.2986204407248186,"score_spread":0.2406843879858789,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}