{"id":"W6889471658","doi":"10.25625/rzz9vm/omacoh","title":"2022-09-RZZ9VM_CANADIAN_SHIELD_MESOZOIC.csv","year":2022,"lang":"en","type":"dataset","venue":"Göttingen Research Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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","sts","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0103674,0.0009522439,0.001220114,0.004011967,0.001480586,0.0003910678,0.004795119,0.0008551367,0.4664696],"category_scores_gemma":[0.00624234,0.001060373,0.0004686138,0.004659839,0.000710366,0.0001949707,0.003901109,0.01128147,0.02377927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002767696,"about_ca_system_score_gemma":0.005085854,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01063331,"about_ca_topic_score_gemma":0.03105692,"domain_scores_codex":[0.9827406,0.003257222,0.001188093,0.002276457,0.006731095,0.003806524],"domain_scores_gemma":[0.990723,0.001663111,0.0004501829,0.004447073,0.0009952236,0.001721367],"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":[0.0001615504,0.0006552477,0.00001671753,0.0003769995,0.0002867062,0.002619814,0.00003462759,0.000006473499,0.0001592101,0.00002096682,0.9923444,0.003317311],"study_design_scores_gemma":[0.0007812722,0.00043185,0.0000577523,0.0001246606,0.0001049526,0.00008474672,0.0004277272,0.00002311846,0.00002817156,0.0001241613,0.9968692,0.0009423732],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002600084,0.004288643,2.210699e-7,0.001908935,0.0009411894,0.001772134,0.9884863,0.0002430709,0.002099451],"genre_scores_gemma":[0.000003043575,0.001704683,0.0002615141,0.000538772,0.003012634,0.0005883579,0.9754371,0.0004264275,0.01802745],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4426904,"threshold_uncertainty_score":0.9998193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1434553684265195,"score_gpt":0.4503154391487256,"score_spread":0.3068600707222061,"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."}}