{"id":"W6964407992","doi":"10.25625/rzz9vm/fd9iwp","title":"2022-12-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":[0.01036878,0.0009466875,0.001210303,0.00399461,0.001467495,0.0003900251,0.004901147,0.0008386539,0.4729655],"category_scores_gemma":[0.006266424,0.001053845,0.0004499277,0.003566692,0.0006958446,0.0002008234,0.004069948,0.01113959,0.0182497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002660014,"about_ca_system_score_gemma":0.004993893,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01177811,"about_ca_topic_score_gemma":0.05315587,"domain_scores_codex":[0.9827964,0.003232792,0.001181789,0.00229195,0.006712742,0.003784381],"domain_scores_gemma":[0.9907424,0.001680386,0.0004475385,0.004598798,0.0008218922,0.001708927],"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":[0.0001735804,0.0006788906,0.00002053405,0.0003724704,0.000291841,0.002603315,0.00003593602,0.000006126736,0.0001458046,0.000019251,0.9931346,0.002517604],"study_design_scores_gemma":[0.0008130045,0.0004426106,0.00006846856,0.0001240304,0.0001063465,0.0000843877,0.0004081485,0.00002379311,0.0000237729,0.0001118805,0.9968572,0.0009364197],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002058402,0.003473537,2.272324e-7,0.001568173,0.0009385986,0.001762969,0.9891678,0.0002382664,0.002644596],"genre_scores_gemma":[0.000003420836,0.001593518,0.0002631936,0.0006516692,0.003034991,0.00056098,0.9729951,0.0004238989,0.02047324],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4547158,"threshold_uncertainty_score":0.9998325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1602061572680393,"score_gpt":0.4467907645017901,"score_spread":0.2865846072337508,"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."}}