{"id":"W6945433371","doi":"10.25625/rzz9vm/eyia2c","title":"2022-12-RZZ9VM_CANADIAN_SHIELD_PROTEROZOIC.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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006252659,0.001724285,0.001438734,0.004773376,0.001481801,0.00348535,0.002504274,0.001671573,0.2455521],"category_scores_gemma":[0.004609603,0.000879877,0.000854359,0.01160374,0.000472254,0.00142522,0.002042634,0.001586494,0.2114382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0044721,"about_ca_system_score_gemma":0.008579749,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4966546,"about_ca_topic_score_gemma":0.6541991,"domain_scores_codex":[0.9993551,0.00004822528,0.00003649496,0.0001557171,0.0001832625,0.0002212129],"domain_scores_gemma":[0.9978738,0.0003602832,0.0001448479,0.000394421,0.0008867399,0.0003399661],"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":[0.00001632911,0.000003420357,0.0002138212,0.0001495826,0.000006953155,0.000005524092,0.00001136335,0.00007465003,0.00002292462,0.0004185423,0.9983108,0.0007661214],"study_design_scores_gemma":[0.00007681974,0.000002837627,0.002038381,0.0001557325,0.000008167369,0.000008883672,0.00005577313,0.0000958332,0.00008945893,0.0005033272,0.9969499,0.00001503614],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003047433,0.00002911224,0.00001149102,0.00003628343,0.00001072562,0.000002527106,0.9986986,0.0001088544,0.001071886],"genre_scores_gemma":[0.0002719927,0.0000554004,0.00009609906,0.00003756015,0.000005509142,0.00002334869,0.996965,0.0001074171,0.002437726],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5033454,"threshold_uncertainty_score":0.9875275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1627032692145962,"score_gpt":0.4428853496852013,"score_spread":0.2801820804706051,"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."}}