{"id":"W6973424338","doi":"10.57907/mirri/llrjiy","title":"MIRRI0043654","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":"Taxon; Organism; Population; Identification (biology)","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":[0.001613925,0.00317393,0.003071514,0.006510879,0.002497166,0.005799235,0.004950123,0.004595728,0.3089626],"category_scores_gemma":[0.009548061,0.001567816,0.001459507,0.01176155,0.0008938335,0.003267644,0.004014669,0.00272174,0.4524075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002690379,"about_ca_system_score_gemma":0.005138239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03525379,"about_ca_topic_score_gemma":0.06085345,"domain_scores_codex":[0.9981255,0.0002629334,0.0001828376,0.0006731154,0.0004127223,0.0003428078],"domain_scores_gemma":[0.9959091,0.001104091,0.0003661427,0.00102555,0.001114156,0.000480928],"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":[0.00006726819,0.00001330404,0.0003562871,0.0008067269,0.00002060032,0.00001316962,0.00003659384,0.00008340057,0.0001844331,0.0004636183,0.9967028,0.001251645],"study_design_scores_gemma":[0.0001797573,0.00001454687,0.001774307,0.0002710145,0.00002721034,0.00003056109,0.00006370183,0.00008805629,0.0002349608,0.0006596552,0.9966294,0.00002686933],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002787359,0.00004201664,0.00003265834,0.00003386926,0.00001605645,0.000004626031,0.9988757,0.0002747066,0.0006925302],"genre_scores_gemma":[0.0001162901,0.00004443535,0.0001707454,0.00004365705,0.000005751697,0.00003239867,0.9986503,0.0001406274,0.0007959871],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6910374,"threshold_uncertainty_score":0.9856811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01718230788061879,"score_gpt":0.2678958363395831,"score_spread":0.2507135284589643,"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."}}