{"id":"W6889435813","doi":"10.25625/rzz9vm/yvnapz","title":"2022-03-RZZ9VM_CANADIAN_SHIELD_PALEOZOIC.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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006287339,0.001741078,0.001559632,0.005516427,0.001750233,0.003933497,0.002773052,0.001514006,0.3121049],"category_scores_gemma":[0.00522024,0.0009532261,0.0008827476,0.01337795,0.0005244221,0.00139421,0.002318556,0.001555378,0.2192024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004917081,"about_ca_system_score_gemma":0.009542624,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5843219,"about_ca_topic_score_gemma":0.7137451,"domain_scores_codex":[0.9993151,0.00005105671,0.00003876895,0.0001715536,0.0001765761,0.0002470047],"domain_scores_gemma":[0.9976643,0.0004192183,0.0001533831,0.0004268633,0.0009694046,0.0003668296],"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":[0.00001850676,0.0000029331,0.0002559459,0.0001940379,0.00000810841,0.00000579066,0.00001626618,0.00007062713,0.00002083651,0.0004560957,0.9980448,0.0009060064],"study_design_scores_gemma":[0.00007862539,0.00000253546,0.002545978,0.0001893827,0.000009928774,0.000009850465,0.00007139118,0.00007599682,0.00009037592,0.0004983098,0.9964115,0.00001617609],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002715395,0.00003183887,0.00001067235,0.0000334135,0.00001104067,0.000002411333,0.9986291,0.000104869,0.001149489],"genre_scores_gemma":[0.0003406642,0.0000673157,0.00009911218,0.00003827804,0.000006708296,0.00002707316,0.9967705,0.0001388777,0.002511566],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4156781,"threshold_uncertainty_score":0.9811989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1428698737172958,"score_gpt":0.4453537298619988,"score_spread":0.302483856144703,"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."}}