{"id":"W6936263699","doi":"10.57907/mirri/9ykhna","title":"MIRRI0067931","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":[0.0008865026,0.0009438458,0.000860609,0.0006360699,0.0003231361,0.0001575497,0.00184277,0.0004696519,0.9990903],"category_scores_gemma":[0.0005872054,0.001010236,0.0005280801,0.0006089242,0.0001087725,0.0001241179,0.001194093,0.001874614,0.9854906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007876959,"about_ca_system_score_gemma":0.0006778344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001397422,"about_ca_topic_score_gemma":0.0004084409,"domain_scores_codex":[0.9944721,0.0006668724,0.0009143794,0.001349318,0.001514619,0.00108271],"domain_scores_gemma":[0.9959282,0.0003277427,0.0007680613,0.00247559,0.0001155965,0.0003847599],"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":[0.00009137978,0.0004825439,0.00002110392,0.00008703255,0.0002185018,0.000855058,0.00002918584,0.0000501832,0.0001600923,0.00001322923,0.997762,0.0002296794],"study_design_scores_gemma":[0.0009763713,0.00006106804,0.00001780121,0.00004925975,0.0003221868,0.0001230092,0.00008990566,0.000007978918,0.00009573989,0.0001248002,0.9971006,0.001031296],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007651137,0.001327111,0.000002465041,0.0003971625,0.002123119,0.0006259828,0.9949346,0.0004741452,0.0000389122],"genre_scores_gemma":[0.000003440284,0.0002282075,0.0001783279,0.0007697594,0.001025874,0.0002428539,0.9888298,0.0003075545,0.008414192],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01359969,"threshold_uncertainty_score":0.9992348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01703570491909949,"score_gpt":0.2673666141613381,"score_spread":0.2503309092422386,"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."}}