{"id":"W6973810513","doi":"10.57907/mirri/kszqk4","title":"MIRRI0057438","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008948539,0.0009441563,0.0008607465,0.0006358724,0.000316219,0.000156729,0.001850924,0.0004695819,0.999091],"category_scores_gemma":[0.0005870023,0.001010816,0.0005277548,0.0005895937,0.0001084686,0.0001253162,0.001204045,0.001885641,0.9857305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008118117,"about_ca_system_score_gemma":0.0006679524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001352065,"about_ca_topic_score_gemma":0.0006289926,"domain_scores_codex":[0.9944634,0.000665068,0.0009133748,0.001350025,0.001519293,0.001088854],"domain_scores_gemma":[0.9959164,0.0003268017,0.0007661033,0.002482961,0.0001146219,0.0003931063],"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":[0.00009229572,0.0004860694,0.0000253679,0.00008561358,0.000226074,0.0008306098,0.00003053321,0.00005180074,0.0001473723,0.0000139555,0.9977971,0.0002132488],"study_design_scores_gemma":[0.001012651,0.00006033075,0.00002304703,0.00004936964,0.000327314,0.0001211027,0.00009602462,0.000008040405,0.00007677462,0.0001226911,0.9970706,0.001032113],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007865213,0.0013749,0.000002283306,0.0004041398,0.002013346,0.0006343363,0.9949794,0.0004727623,0.00004017453],"genre_scores_gemma":[0.000003724599,0.0002440177,0.0001820601,0.0007947214,0.001041608,0.0002244693,0.9890734,0.0003074701,0.008128546],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01336053,"threshold_uncertainty_score":0.9992342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01724593632506169,"score_gpt":0.2681625494091334,"score_spread":0.2509166130840718,"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."}}