{"id":"W6936257039","doi":"10.57907/mirri/jxv1hr","title":"MIRRI0061901","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":[0.0008899482,0.0009395723,0.0008581409,0.0006321094,0.0003204319,0.0001563349,0.001819286,0.0004675474,0.9992893],"category_scores_gemma":[0.0005808498,0.001005705,0.0005257285,0.0006091051,0.0001072009,0.0001232281,0.001192743,0.001858898,0.9880966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007917525,"about_ca_system_score_gemma":0.000649627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00143946,"about_ca_topic_score_gemma":0.0003988789,"domain_scores_codex":[0.9944937,0.0006538526,0.0009085083,0.001341012,0.001507177,0.001095752],"domain_scores_gemma":[0.9959551,0.0003250049,0.0007638792,0.002453637,0.0001168539,0.0003855289],"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":[0.0000919105,0.0004937214,0.0000233888,0.00008944801,0.0002141376,0.0008682063,0.00002904371,0.00005013317,0.0001544749,0.00001206796,0.9977258,0.0002476841],"study_design_scores_gemma":[0.0009988475,0.00006070391,0.000019211,0.00004907972,0.0003211779,0.0001028503,0.00009696604,0.000007984639,0.00009113037,0.0001235194,0.9971032,0.001025392],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007269048,0.001285695,0.000002321312,0.0003688047,0.0020508,0.0006187872,0.9950845,0.0004665968,0.00004986419],"genre_scores_gemma":[0.000003638296,0.0002486338,0.0001675619,0.0007417453,0.001015681,0.0002415621,0.9885623,0.0003017168,0.008717179],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01119269,"threshold_uncertainty_score":0.9992393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01720928151197924,"score_gpt":0.2674949758924998,"score_spread":0.2502856943805205,"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."}}