{"id":"W6954790261","doi":"10.57907/mirri/7wjt3p","title":"MIRRI0057964","year":2022,"lang":"en","type":"dataset","venue":"Entrepôt pour orphelin","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Organism; Taxon; Identification (biology); Population","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001626453,0.003409466,0.003043297,0.006734577,0.002497207,0.005904126,0.004749178,0.004682771,0.3353983],"category_scores_gemma":[0.01012022,0.001549849,0.001519422,0.01237563,0.0008720733,0.003479127,0.004201438,0.002731423,0.4851457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002602868,"about_ca_system_score_gemma":0.005038668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02971488,"about_ca_topic_score_gemma":0.04956868,"domain_scores_codex":[0.9980494,0.0002892,0.0001958993,0.0006842341,0.0004309918,0.0003503243],"domain_scores_gemma":[0.9956604,0.001208178,0.0003830174,0.001095931,0.001151988,0.0005004568],"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":[0.00006259057,0.00001289116,0.000272713,0.0007141352,0.00001774705,0.00001185313,0.00003125983,0.00007890689,0.00014782,0.0004306425,0.9970746,0.001144844],"study_design_scores_gemma":[0.0001922778,0.00001713007,0.001539746,0.0002753783,0.00002800646,0.00003055524,0.00006361849,0.00009931824,0.0002391376,0.0007798463,0.9967067,0.00002836174],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000024438,0.00004000265,0.00003125409,0.00003668586,0.00001704182,0.000004913482,0.9988251,0.0002994773,0.0007211522],"genre_scores_gemma":[0.0001093687,0.00004639483,0.0001699835,0.00004900575,0.000006526383,0.00003628043,0.9986273,0.0001469852,0.0008081897],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6646017,"threshold_uncertainty_score":0.9479737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01724437954932567,"score_gpt":0.2681786522335534,"score_spread":0.2509342726842277,"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."}}