{"id":"W6898886713","doi":"10.57907/mirri/ith6cl","title":"MIRRI0047001","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":[0.0008958342,0.0009411041,0.0008596205,0.0006346906,0.0003201981,0.0001561143,0.001847273,0.0004684475,0.9991317],"category_scores_gemma":[0.0005954989,0.001008074,0.0005282608,0.0006176159,0.0001078712,0.0001243868,0.001191699,0.001878402,0.984623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008216492,"about_ca_system_score_gemma":0.0006783575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001416154,"about_ca_topic_score_gemma":0.0004583728,"domain_scores_codex":[0.9944744,0.0006558583,0.0009068212,0.001345626,0.001509065,0.001108248],"domain_scores_gemma":[0.9959428,0.0003210299,0.000758706,0.002464049,0.0001160486,0.0003973855],"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":[0.00009048422,0.0005240616,0.00002166258,0.00008734519,0.0002250226,0.0009138142,0.00002677,0.00004996253,0.0001390942,0.00001460628,0.9976713,0.000235887],"study_design_scores_gemma":[0.001053874,0.00006203066,0.0000162845,0.00004981381,0.000325007,0.0001316366,0.00009074792,0.000008146112,0.00008587271,0.0001476701,0.9969997,0.001029173],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007149215,0.001310348,0.000002334584,0.0003876425,0.002076801,0.0006226817,0.9949986,0.0004866976,0.00004339772],"genre_scores_gemma":[0.000003553437,0.0002533086,0.000170985,0.0007687883,0.001021527,0.0002425223,0.9886646,0.000307055,0.008567668],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01450875,"threshold_uncertainty_score":0.9992369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0176799947200876,"score_gpt":0.2690714353648384,"score_spread":0.2513914406447508,"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."}}