{"id":"W6898626801","doi":"10.57745/bonrdy","title":"CapillaryGlycemia_DuringExercise.tab","year":2023,"lang":"en","type":"dataset","venue":"Recherche Data Gouv France","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008008555,0.003326643,0.002272787,0.002609011,0.0006454465,0.002707645,0.002420841,0.003911441,0.1161681],"category_scores_gemma":[0.005428269,0.0008746756,0.001915412,0.003594509,0.0003558906,0.0009721604,0.00148676,0.00158531,0.09879623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001762501,"about_ca_system_score_gemma":0.002189368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04749398,"about_ca_topic_score_gemma":0.05060565,"domain_scores_codex":[0.9992564,0.0001129721,0.00008269396,0.0002906472,0.0001271721,0.0001300042],"domain_scores_gemma":[0.9980227,0.0008177967,0.0002042391,0.000372419,0.0003966888,0.0001862284],"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":[0.0002288343,0.00003285677,0.0013418,0.001045971,0.00007143665,0.00003266471,0.00001721492,0.000370052,0.0001173986,0.0002593906,0.993284,0.003198512],"study_design_scores_gemma":[0.001761276,0.0001045864,0.01615324,0.001224252,0.0001484523,0.0002208893,0.00007901323,0.001469102,0.0008130936,0.002073287,0.975847,0.0001059009],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001274163,0.0000978953,0.00003918048,0.00006929474,0.00002432054,0.00000770231,0.9988604,0.0003961755,0.0003776056],"genre_scores_gemma":[0.0008879502,0.0001234822,0.0002196723,0.0001214626,0.00002078276,0.00007790166,0.9976156,0.0001321699,0.0008010818],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8838319,"threshold_uncertainty_score":0.388621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4053741235306865,"score_gpt":0.4351102620541804,"score_spread":0.02973613852349394,"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."}}