{"id":"W6888780261","doi":"10.22008/fk2/cs5lka/vsyk3u","title":"c50an1.rtl","year":2022,"lang":"fr","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Apotex Pharmachem (Canada)","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.01053712,0.001700209,0.003378708,0.0005378283,0.0009120711,0.0001390385,0.002067707,0.001867657,0.2597236],"category_scores_gemma":[0.004852692,0.001437278,0.0005518364,0.001745447,0.002709418,0.0002263813,0.00353408,0.002818751,0.005439805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001876904,"about_ca_system_score_gemma":0.0003113515,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03038606,"about_ca_topic_score_gemma":0.02027165,"domain_scores_codex":[0.9823568,0.0092306,0.002145712,0.002397938,0.001811166,0.002057781],"domain_scores_gemma":[0.9887374,0.006288309,0.001555937,0.00184307,0.0005310395,0.001044246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001775217,0.0009086062,0.4102558,0.0003743686,0.0005165159,0.0004856315,0.00002845724,0.00004911275,0.00001026962,0.00006064638,0.5809249,0.004610422],"study_design_scores_gemma":[0.00147606,0.001266401,0.5208571,0.00007227371,0.0003361831,0.0002017323,0.00002450563,0.00006161519,0.000002822582,0.0003885557,0.4743216,0.0009911346],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1372872,0.01507809,0.00002268698,0.0002642737,0.00123212,0.0008988882,0.8443611,0.00005873946,0.00079697],"genre_scores_gemma":[0.03473868,0.006620367,0.0002076149,0.000386347,0.0003462382,0.0001164144,0.9534021,0.0001390974,0.004043144],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2542838,"threshold_uncertainty_score":0.9995744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04553673280496227,"score_gpt":0.2736657331203128,"score_spread":0.2281290003153505,"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."}}