{"id":"W6889494678","doi":"10.25625/rzz9vm/x2ccyu","title":"2022-09-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":[0.000616613,0.001711604,0.001539088,0.005450259,0.001735714,0.003848204,0.002718673,0.001479135,0.301968],"category_scores_gemma":[0.005051879,0.0009424731,0.0008674589,0.0133654,0.0005197327,0.001376867,0.002261791,0.001557194,0.2133383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004902995,"about_ca_system_score_gemma":0.009658218,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5920643,"about_ca_topic_score_gemma":0.7209818,"domain_scores_codex":[0.9993217,0.00004995862,0.00003846468,0.0001700991,0.0001758825,0.0002439634],"domain_scores_gemma":[0.9977202,0.0004028467,0.000150244,0.0004162401,0.0009524347,0.0003580597],"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":[0.00001889001,0.000002985968,0.0002598899,0.0001905401,0.000008095287,0.000005845661,0.00001576361,0.00007082474,0.00002107178,0.0004603661,0.9980331,0.0009127376],"study_design_scores_gemma":[0.00007754848,0.000002585075,0.002647763,0.0001878664,0.000009827249,0.00001002473,0.00007203931,0.00007589287,0.0000916698,0.0004913973,0.9963171,0.00001627385],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000280785,0.00003196991,0.00001054186,0.0000332417,0.00001126001,0.000002372371,0.9986348,0.0001006578,0.001147046],"genre_scores_gemma":[0.000342635,0.00006747051,0.00009564112,0.00003692942,0.000006612693,0.00002594993,0.9967817,0.0001295609,0.002513543],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4079357,"threshold_uncertainty_score":0.995658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1444621771208021,"score_gpt":0.4463777796863781,"score_spread":0.301915602565576,"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."}}