{"id":"W6974080230","doi":"10.57907/mirri/sgfdb0","title":"MIRRI0066560","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); Life history","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":[0.0008927854,0.0009437081,0.0008631593,0.0006338634,0.0003228538,0.0001574585,0.001842769,0.0004698175,0.9990962],"category_scores_gemma":[0.0005909274,0.001010149,0.0005277717,0.0006087808,0.0001090962,0.0001240233,0.001196635,0.001874293,0.9854491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007888354,"about_ca_system_score_gemma":0.0006620538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001378743,"about_ca_topic_score_gemma":0.0004240371,"domain_scores_codex":[0.9944666,0.0006698367,0.0009134226,0.001349761,0.001518203,0.001082172],"domain_scores_gemma":[0.9959234,0.0003296671,0.000767944,0.002477234,0.0001174764,0.0003843027],"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":[0.00008866422,0.0004819033,0.00002002749,0.00008840881,0.0002192572,0.0008657661,0.00002899424,0.00005288312,0.0001588459,0.00001377366,0.9977564,0.0002250589],"study_design_scores_gemma":[0.0009785122,0.00006132181,0.00001709451,0.00004991083,0.0003229955,0.0001233611,0.00009091451,0.000008163054,0.00009589245,0.0001285852,0.9970922,0.001031082],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007311264,0.001343183,0.000002432398,0.0004028548,0.002129893,0.000623152,0.9949132,0.0004737171,0.00003842273],"genre_scores_gemma":[0.000003300751,0.0002272455,0.0001783953,0.0007885743,0.001031172,0.0002418265,0.9886673,0.000307503,0.008554664],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01364701,"threshold_uncertainty_score":0.9992349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01702915732880989,"score_gpt":0.2673420029751029,"score_spread":0.250312845646293,"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."}}