{"id":"W6973619700","doi":"10.57907/mirri/97zole","title":"MIRRI0055275","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":[0.0009073177,0.0009416497,0.0008585119,0.0006406463,0.0003193723,0.0001580065,0.001857216,0.0004691676,0.9990494],"category_scores_gemma":[0.0005815711,0.001007814,0.0005349645,0.0005992744,0.0001066675,0.0001239766,0.001212514,0.001880192,0.9851226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007774574,"about_ca_system_score_gemma":0.0006712046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001203589,"about_ca_topic_score_gemma":0.0004277726,"domain_scores_codex":[0.9944705,0.0006665681,0.0009103845,0.001349028,0.001519527,0.001084012],"domain_scores_gemma":[0.9959525,0.0003243611,0.0007433627,0.002475074,0.0001123077,0.0003924249],"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":[0.00008844559,0.0004833583,0.00001759278,0.0000840221,0.000229268,0.0008324182,0.00003804126,0.00004671395,0.0001706151,0.00001300323,0.9977756,0.000220912],"study_design_scores_gemma":[0.0009775605,0.0000596946,0.00001667128,0.00004898388,0.0003304448,0.0001210703,0.0001219485,0.000007161505,0.0001048759,0.0001189241,0.9970635,0.001029167],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008522048,0.001465081,0.000002243748,0.0004043859,0.002101946,0.0006159894,0.9948205,0.0004687329,0.00003592293],"genre_scores_gemma":[0.000003749694,0.0002547723,0.0001830592,0.0008143743,0.001080962,0.0001320184,0.9891884,0.000307286,0.008035382],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0139269,"threshold_uncertainty_score":0.9992372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01723280875231698,"score_gpt":0.2681336986519985,"score_spread":0.2509008898996816,"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."}}