{"id":"W6917411304","doi":"10.57907/mirri/0sls2k","title":"MIRRI0057970","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":[0.0008996812,0.0009447784,0.0008634194,0.0006360881,0.0003138171,0.0001570054,0.001854985,0.0004699666,0.9989013],"category_scores_gemma":[0.0005968409,0.001011523,0.0005334854,0.0005980417,0.0001085895,0.0001255389,0.001205128,0.001886251,0.985005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000805744,"about_ca_system_score_gemma":0.0006731049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001107889,"about_ca_topic_score_gemma":0.0005704646,"domain_scores_codex":[0.9944576,0.0006671564,0.0009140066,0.00135116,0.001520854,0.0010892],"domain_scores_gemma":[0.9959103,0.0003283559,0.0007681396,0.002485588,0.0001148494,0.0003927117],"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":[0.00008966775,0.0005522296,0.00001787538,0.00008583749,0.0002294728,0.0008338082,0.00002895321,0.00005118299,0.0001512521,0.00001439997,0.9976483,0.0002969967],"study_design_scores_gemma":[0.0009911276,0.00006031193,0.00002112933,0.00004970786,0.0003311689,0.0001218229,0.00009428218,0.000007647915,0.00009387774,0.0001199953,0.9970763,0.001032636],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006236573,0.001361579,0.000002367218,0.0004325652,0.002066119,0.00061988,0.9949224,0.0004762756,0.00005647701],"genre_scores_gemma":[0.000004227997,0.0002433654,0.0001735833,0.0007916332,0.001047372,0.0002502867,0.9891405,0.0003079136,0.008041179],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0138963,"threshold_uncertainty_score":0.9992335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01723601427928047,"score_gpt":0.2680419791388254,"score_spread":0.250805964859545,"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."}}