{"id":"W6936061513","doi":"10.57907/mirri/zywr28","title":"MIRRI0073976","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":[0.0009169608,0.0009445607,0.000861661,0.0006439625,0.0003224156,0.0001553129,0.001852675,0.0004736226,0.9990851],"category_scores_gemma":[0.0005971914,0.001011384,0.0005277857,0.0006115854,0.000109275,0.0001236522,0.001206402,0.001895654,0.9847507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000797383,"about_ca_system_score_gemma":0.000665737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001305525,"about_ca_topic_score_gemma":0.0003919917,"domain_scores_codex":[0.9944488,0.0006614992,0.0009169313,0.0013511,0.00152949,0.001092204],"domain_scores_gemma":[0.9959021,0.0003337188,0.0007687477,0.002483499,0.0001187893,0.0003931799],"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":[0.000091808,0.0004802669,0.00002114734,0.00008816921,0.0002214497,0.0008627364,0.00003067003,0.00004611991,0.0001503629,0.00001449406,0.9977599,0.0002328328],"study_design_scores_gemma":[0.0009799247,0.00006177083,0.00001806662,0.00005044241,0.0003185041,0.0001234698,0.00009509694,0.000008161098,0.00009701528,0.0001327426,0.9970826,0.001032207],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008053005,0.001364474,0.000002580568,0.0003811996,0.002086275,0.0006227883,0.9949466,0.0004753511,0.00004018056],"genre_scores_gemma":[0.0000035569,0.0002330652,0.0001788912,0.0007855758,0.001022353,0.0002351025,0.9892306,0.0003079133,0.008002921],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01433443,"threshold_uncertainty_score":0.9992337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01738172440153386,"score_gpt":0.2690397766133712,"score_spread":0.2516580522118373,"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."}}