{"id":"W6927081970","doi":"10.25625/rzz9vm/np418k","title":"2022-06-RZZ9VM_CANADIAN_SHIELD_CENOZOIC.csv","year":2022,"lang":"en","type":"dataset","venue":"Göttingen Research Online","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001296458,0.0003713276,0.000379205,0.0003056054,0.000582665,0.00006988568,0.001285067,0.0003916292,0.00952588],"category_scores_gemma":[0.0005199023,0.0003952877,0.0002018284,0.0003625432,0.000228285,5.765248e-7,0.001990037,0.001210733,0.0001078945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001028252,"about_ca_system_score_gemma":0.0008083728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008334545,"about_ca_topic_score_gemma":0.003804251,"domain_scores_codex":[0.9963586,0.000420987,0.0003996936,0.00097892,0.0008025295,0.001039208],"domain_scores_gemma":[0.9977759,0.00009145663,0.0001325116,0.00139539,0.000286843,0.0003179712],"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":[0.00003551444,0.0001323286,0.00005530452,0.00007669457,0.0002218062,0.00005792389,0.00001098021,0.00000888726,0.006119335,0.000004925921,0.9919131,0.001363192],"study_design_scores_gemma":[0.0002873034,0.0004417356,0.0001668725,0.00001258783,0.00003219919,0.00001734419,0.000164945,0.000002392875,0.0003190812,0.0000482788,0.9981119,0.0003953764],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.007828659,0.01173129,7.97592e-7,0.0006689746,0.0004188994,0.0004585778,0.9783157,0.000004647411,0.0005725033],"genre_scores_gemma":[0.0002115281,0.01187189,0.0001469971,0.0005614759,0.001806501,0.000154104,0.979241,0.0000605938,0.005945916],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.009417986,"threshold_uncertainty_score":0.9998499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05086426602733359,"score_gpt":0.3582425051363998,"score_spread":0.3073782391090663,"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."}}