{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008983286,0.0009453005,0.0008621091,0.0006377841,0.0003222228,0.00015713,0.001855968,0.0004704235,0.9990808],"category_scores_gemma":[0.0005957364,0.001011892,0.0005280962,0.0005998291,0.0001086668,0.0001191482,0.001204474,0.001888426,0.9847938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008069713,"about_ca_system_score_gemma":0.0006722145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001312224,"about_ca_topic_score_gemma":0.0004479676,"domain_scores_codex":[0.9944548,0.0006671822,0.0009147326,0.001352102,0.001521248,0.001089958],"domain_scores_gemma":[0.9959087,0.0003283597,0.0007669537,0.002487578,0.0001147946,0.0003935974],"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":[0.00009061737,0.0004866243,0.00002150766,0.0000857582,0.0002262815,0.000834766,0.00002945931,0.00005155888,0.0001558164,0.00001398436,0.9977709,0.0002327501],"study_design_scores_gemma":[0.0009946896,0.00006038422,0.00001802812,0.00004981682,0.0003230688,0.0001214326,0.00009453944,0.000007929939,0.00009440361,0.0001217371,0.997081,0.001032985],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007859641,0.001378999,0.000002319479,0.0004242913,0.002068722,0.0006225922,0.9949276,0.0004576611,0.00003925422],"genre_scores_gemma":[0.000003541791,0.0002436022,0.0001800783,0.0007983022,0.001048931,0.0002509679,0.9892339,0.0003078848,0.007932824],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01428707,"threshold_uncertainty_score":0.9992331,"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."}}