{"id":"W6936020175","doi":"10.57907/mirri/cmfipe","title":"MIRRI0065134","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":[0.000884785,0.000943813,0.0008642072,0.0006357092,0.0003223687,0.0001574946,0.001843796,0.0004693979,0.9991101],"category_scores_gemma":[0.0005829284,0.00101031,0.0005279397,0.0006090316,0.0001085397,0.0001240161,0.001196843,0.001872026,0.9857641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007922197,"about_ca_system_score_gemma":0.0006602723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001440151,"about_ca_topic_score_gemma":0.0004480535,"domain_scores_codex":[0.994468,0.0006658721,0.0009162658,0.001348954,0.001518964,0.001081931],"domain_scores_gemma":[0.9959291,0.0003257403,0.0007680105,0.002475288,0.0001175288,0.0003843345],"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":[0.00009410254,0.0004822401,0.00002094028,0.00008806933,0.0002182117,0.0008781108,0.00002986156,0.00005152904,0.0001489741,0.00001389285,0.9977448,0.0002292738],"study_design_scores_gemma":[0.0009990095,0.00006057608,0.00001851049,0.00004930584,0.0003220912,0.0001160036,0.00009273268,0.000007910969,0.00009557734,0.0001269322,0.99708,0.001031358],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000787465,0.001361898,0.000002474999,0.0003858993,0.00207156,0.0006241067,0.9949624,0.0004748493,0.00003806078],"genre_scores_gemma":[0.00000364428,0.0002285069,0.0001760539,0.0007579776,0.001036929,0.0002422026,0.9892987,0.000307686,0.007948293],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01334597,"threshold_uncertainty_score":0.9992347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0170105043759044,"score_gpt":0.2671860725167045,"score_spread":0.2501755681408001,"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."}}