{"id":"W6973678779","doi":"10.57907/mirri/fangfu","title":"MIRRI0062389","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); Natural (archaeology)","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":[0.0008818422,0.0009408172,0.0008528454,0.0006340146,0.0003227213,0.0001571947,0.001806307,0.0004691444,0.9991472],"category_scores_gemma":[0.0005721971,0.001006922,0.0005247308,0.0005988051,0.000108238,0.0001238033,0.001136324,0.001869516,0.9857268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007836898,"about_ca_system_score_gemma":0.0006358137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001462934,"about_ca_topic_score_gemma":0.0004336831,"domain_scores_codex":[0.9944904,0.0006636338,0.0009093403,0.001343789,0.001513427,0.001079342],"domain_scores_gemma":[0.9959882,0.0003269595,0.0007639362,0.002460595,0.00007654647,0.0003837611],"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":[0.00008956619,0.0004819804,0.00001718221,0.00007106223,0.0002178023,0.000871045,0.00002945315,0.00004750078,0.0001578751,0.000009083529,0.9977708,0.0002366249],"study_design_scores_gemma":[0.0009766261,0.00006113897,0.0000144078,0.00004776434,0.0003191104,0.0001241989,0.0000907978,0.00001007549,0.00009645861,0.0001233743,0.9971074,0.00102865],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000759691,0.001374092,0.000002460675,0.0003954928,0.002071231,0.000612301,0.9949559,0.0004734489,0.00003912296],"genre_scores_gemma":[0.000003236013,0.0002295208,0.0001761424,0.0007807706,0.001023634,0.0002409893,0.9886876,0.0003066441,0.008551477],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0134204,"threshold_uncertainty_score":0.9992381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01697498036779105,"score_gpt":0.2673336782211616,"score_spread":0.2503586978533705,"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."}}