{"id":"W6908295872","doi":"10.25625/rzz9vm/9ozisk","title":"2021-11-RZZ9VM_CANADIAN_SHIELD_CENOZOIC.csv","year":2021,"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":["metaresearch","metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.006352329,0.001006879,0.001373172,0.002587848,0.0007893468,0.0007499969,0.003619053,0.001419073,0.04919253],"category_scores_gemma":[0.008736783,0.001088898,0.0004758406,0.004558334,0.0007522418,0.0002180787,0.002432255,0.006576188,0.049363],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0015803,"about_ca_system_score_gemma":0.006407632,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.013125,"about_ca_topic_score_gemma":0.1277302,"domain_scores_codex":[0.9847988,0.002649449,0.001228888,0.00241677,0.004979563,0.003926474],"domain_scores_gemma":[0.9887914,0.001501823,0.00038329,0.004901296,0.002491846,0.00193032],"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":[0.00004346328,0.0005738243,0.00003165541,0.0004400041,0.0002825196,0.004629774,0.00002228649,0.000003497097,0.0002127114,0.00001825878,0.9908103,0.00293174],"study_design_scores_gemma":[0.0006285749,0.0001274355,0.00007892607,0.0006134901,0.0001069396,0.00008142919,0.0003544941,0.00003152504,0.0001076687,0.00006072898,0.9968283,0.0009805235],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003375486,0.005305285,7.747751e-7,0.002422075,0.0007658949,0.001004893,0.9883301,0.0001166995,0.001716683],"genre_scores_gemma":[0.000005829569,0.002312796,0.0008507038,0.0004316243,0.006545169,0.0001671594,0.9766947,0.0003628814,0.01262916],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1146052,"threshold_uncertainty_score":0.9998773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1367705421516656,"score_gpt":0.4408841448953177,"score_spread":0.3041136027436521,"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."}}