{"id":"W6917431198","doi":"10.57907/mirri/s5jf22","title":"MIRRI0057436","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00172346,0.003329844,0.003236162,0.007051969,0.002513117,0.005779408,0.004856972,0.004599862,0.327984],"category_scores_gemma":[0.01039851,0.001658891,0.001439244,0.01293995,0.0008934878,0.003492152,0.004196955,0.002626662,0.4570977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002849215,"about_ca_system_score_gemma":0.005434548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03363355,"about_ca_topic_score_gemma":0.05726646,"domain_scores_codex":[0.9980521,0.0002917549,0.0001910904,0.000701588,0.0004184587,0.0003450266],"domain_scores_gemma":[0.9955895,0.00129136,0.0003972546,0.00110621,0.001131231,0.0004845542],"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":[0.00007016386,0.00001315138,0.0003441358,0.0008907557,0.00002194039,0.00001265176,0.00004014412,0.0000882464,0.0001713874,0.0005104459,0.9965358,0.001301164],"study_design_scores_gemma":[0.0001782266,0.00001444083,0.001646737,0.0002872727,0.00002859147,0.00002942514,0.00006625306,0.0000889215,0.0002412547,0.0007389974,0.9966529,0.00002699549],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002347979,0.00003745508,0.00003276359,0.00002986267,0.00001296252,0.000004199322,0.9989622,0.0002741808,0.0006229752],"genre_scores_gemma":[0.000120838,0.00004702077,0.0001973387,0.00004387104,0.000005638025,0.00003551502,0.9986381,0.0001639354,0.0007476668],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.672016,"threshold_uncertainty_score":0.9585492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01721673077440905,"score_gpt":0.2681290158633093,"score_spread":0.2509122850889003,"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."}}