{"id":"W6936049816","doi":"10.57907/mirri/edpvzs","title":"MIRRI0064500","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); Product (mathematics)","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":[0.0008556161,0.0009412538,0.0008566027,0.0006377932,0.0003255651,0.0001570647,0.001840347,0.0004679693,0.9991812],"category_scores_gemma":[0.000515729,0.0009973656,0.0005244576,0.0006091085,0.0001075547,0.000124688,0.001152173,0.001851768,0.9857717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000791624,"about_ca_system_score_gemma":0.0006647887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00132644,"about_ca_topic_score_gemma":0.0004336242,"domain_scores_codex":[0.9944998,0.0006649593,0.0009087605,0.00134483,0.001508827,0.001072792],"domain_scores_gemma":[0.9959641,0.0003182767,0.0007543692,0.002467124,0.0001136739,0.0003824282],"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":[0.00008977953,0.0004642222,0.00001831789,0.0000936073,0.000217918,0.0008673803,0.00004488234,0.00004820594,0.0001240189,0.00001114998,0.9977966,0.0002239265],"study_design_scores_gemma":[0.000965866,0.00005955548,0.00001517806,0.00005239961,0.0003177683,0.0001230249,0.0001372373,0.00000778522,0.0001013297,0.0001260095,0.9970651,0.001028784],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008081948,0.001472875,0.000002762041,0.0003812179,0.002135245,0.0005831001,0.9948458,0.0004654793,0.00003271363],"genre_scores_gemma":[0.000003703418,0.0002525,0.0001702451,0.0007480436,0.001087761,0.0002276595,0.9889995,0.0003034713,0.008207155],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01340954,"threshold_uncertainty_score":0.9992477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01683317219598335,"score_gpt":0.2670407991463327,"score_spread":0.2502076269503493,"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."}}