{"id":"W6954911222","doi":"10.57907/mirri/xe6xob","title":"MIRRI0059763","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":[0.0008716088,0.0009443836,0.0008614393,0.0006361154,0.0003220657,0.0001570452,0.001853175,0.0004701705,0.9990757],"category_scores_gemma":[0.0005959626,0.001011144,0.0005278479,0.0005976979,0.0001085443,0.0001255109,0.001203548,0.001886976,0.9849591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008069677,"about_ca_system_score_gemma":0.0006755799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001246716,"about_ca_topic_score_gemma":0.000451043,"domain_scores_codex":[0.9944602,0.0006665423,0.0009164192,0.001349969,0.001517797,0.001089066],"domain_scores_gemma":[0.9959157,0.0003286289,0.0007666298,0.00248098,0.0001147073,0.0003934076],"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":[0.00009450147,0.000485929,0.00002202819,0.00008685753,0.0002259764,0.0008332955,0.00002959514,0.00005120695,0.0001509052,0.00001448427,0.997779,0.0002262649],"study_design_scores_gemma":[0.0009862608,0.0000604249,0.00001947462,0.00005071051,0.0003272409,0.0001218395,0.00009407075,0.000007966507,0.00009303369,0.0001229834,0.9970841,0.001031874],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007720121,0.001376061,0.000002457988,0.000419506,0.00206684,0.0006240227,0.9949203,0.0004758568,0.0000377516],"genre_scores_gemma":[0.000003543203,0.0002471362,0.0001822847,0.0007940554,0.001047103,0.0002423156,0.989253,0.0003073947,0.007923202],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01411652,"threshold_uncertainty_score":0.9992339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01722134253673552,"score_gpt":0.2681937948676261,"score_spread":0.2509724523308905,"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."}}