{"id":"W6955194066","doi":"10.57907/mirri/lz9ion","title":"MIRRI0049961","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":[0.0008502747,0.0009413567,0.0008558718,0.0006349903,0.0003255105,0.0001575721,0.001839178,0.0004677667,0.999072],"category_scores_gemma":[0.0006016656,0.001007149,0.0005336789,0.0005968492,0.0001083207,0.0001235674,0.001165862,0.001877232,0.9847801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008093637,"about_ca_system_score_gemma":0.0007072183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001260057,"about_ca_topic_score_gemma":0.0003976094,"domain_scores_codex":[0.9944912,0.0006602458,0.0009110321,0.001343573,0.00152016,0.001073769],"domain_scores_gemma":[0.9959353,0.0003201685,0.0007616851,0.002477161,0.0001173459,0.0003882961],"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":[0.00009115943,0.0004928213,0.00002236004,0.00009179682,0.0002280468,0.0008714614,0.00003128361,0.00005233882,0.0002114634,0.00001219732,0.9976603,0.0002347986],"study_design_scores_gemma":[0.001026785,0.0000623336,0.00001387797,0.00005151055,0.0003286597,0.0001245812,0.00009322431,0.000006798218,0.0001298702,0.0001166522,0.9970159,0.001029827],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006718835,0.001258162,0.000003054163,0.0003874922,0.001973681,0.0006946767,0.9950997,0.0004842461,0.00003179375],"genre_scores_gemma":[0.000004001865,0.0002065799,0.0001661371,0.0007661334,0.001002277,0.0002805789,0.9897586,0.0003073606,0.007508387],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01429195,"threshold_uncertainty_score":0.9992379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01719273065367826,"score_gpt":0.2678399900423182,"score_spread":0.2506472593886399,"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."}}