{"id":"W6936463173","doi":"10.57907/mirri/ayc2ma","title":"MIRRI0054498","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":[0.0008291602,0.0009545026,0.0008680254,0.0006454792,0.0003203449,0.0001629112,0.001903058,0.0004737218,0.9990969],"category_scores_gemma":[0.0005800239,0.00102256,0.000533889,0.0006074567,0.0001116736,0.0001300467,0.001243696,0.001899124,0.9850315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008158381,"about_ca_system_score_gemma":0.0006799814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001221256,"about_ca_topic_score_gemma":0.0004329756,"domain_scores_codex":[0.9944227,0.0006696763,0.0009211879,0.00136354,0.00152392,0.001098957],"domain_scores_gemma":[0.995904,0.0003211154,0.0007737584,0.002488082,0.0001158333,0.0003971856],"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":[0.0001003701,0.0004902689,0.00001838387,0.00008586492,0.0002289951,0.0007986656,0.00002891532,0.00005264813,0.0001630067,0.00001591029,0.9977423,0.000274667],"study_design_scores_gemma":[0.0009892847,0.0000615459,0.00001743083,0.00006134485,0.0003304269,0.000115054,0.00008909822,0.000007891814,0.0001018563,0.0001357824,0.9970464,0.001043869],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006545964,0.001589139,0.000002864826,0.000377563,0.002078531,0.000636712,0.9947312,0.0004815605,0.00003699821],"genre_scores_gemma":[0.000003103874,0.0003074361,0.0002163855,0.0007751825,0.001053709,0.0002478363,0.989584,0.0003107426,0.007501601],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01406539,"threshold_uncertainty_score":0.9992225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01721309932284279,"score_gpt":0.2681318704972707,"score_spread":0.2509187711744279,"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."}}