{"id":"W6955083527","doi":"10.57907/mirri/q4kssl","title":"MIRRI0068658","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":[0.0008814051,0.0009399916,0.0008586793,0.0006343967,0.0003176829,0.0001568406,0.001837732,0.0004693251,0.9991608],"category_scores_gemma":[0.0005886385,0.001009485,0.000523867,0.0006065944,0.0001085804,0.0001232529,0.001191316,0.001868091,0.9866148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000789886,"about_ca_system_score_gemma":0.0006642865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001334684,"about_ca_topic_score_gemma":0.0004189248,"domain_scores_codex":[0.9944695,0.0006608088,0.0009120032,0.001363955,0.0015131,0.001080653],"domain_scores_gemma":[0.9959019,0.0003268309,0.0007655643,0.002504963,0.0001174905,0.0003832527],"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":[0.00009309361,0.0003528637,0.00002067574,0.00008762426,0.0002193749,0.0008517114,0.00002864998,0.00005343233,0.0001533217,0.00001396246,0.9978577,0.0002675497],"study_design_scores_gemma":[0.0009956063,0.0000618599,0.00002097624,0.000049158,0.0003223085,0.0001253393,0.00008816295,0.000006394465,0.00009413798,0.0001696521,0.9970362,0.001030243],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000645628,0.001287563,0.000003248625,0.0003902637,0.002059905,0.000622882,0.9950632,0.0004720893,0.00003631976],"genre_scores_gemma":[0.000002813914,0.0002238144,0.0002361457,0.0007660734,0.001022549,0.0002366374,0.9893501,0.0003072905,0.007854595],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01254598,"threshold_uncertainty_score":0.9992356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0170193258234565,"score_gpt":0.2674187999556708,"score_spread":0.2503994741322143,"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."}}