{"id":"W3183663016","doi":"","title":"Gold metallogeny of the southern Swayze Area, Abitibi Greenstone Belt","year":2021,"lang":"en","type":"dissertation","venue":"Lu Zone Ul (Laurentian University)","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metallogeny; Greenstone belt; Geology; Geochemistry; Archean","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":[0.0001481628,0.0002411601,0.0002013448,0.00158106,0.0007403003,0.0004303546,0.0002160518,0.0001700127,0.0008837163],"category_scores_gemma":[0.000195651,0.0001460234,0.0001416192,0.001596397,0.0004806437,0.0001756116,0.0005381002,0.0001011123,0.0001452459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002203789,"about_ca_system_score_gemma":0.003098704,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6643476,"about_ca_topic_score_gemma":0.8973666,"domain_scores_codex":[0.9999042,0.000004990107,0.000005586401,0.00002452118,0.00002638533,0.00003433317],"domain_scores_gemma":[0.9999346,0.000005494077,0.00001209238,0.000005121648,0.00002747243,0.00001533671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001624702,0.00004116549,0.8849307,0.0002014856,0.00008208172,0.001290863,0.005848538,0.000524987,0.04384302,0.0008525065,0.0005008997,0.06172132],"study_design_scores_gemma":[0.000003942812,0.0000134133,0.9957789,0.00001605826,0.00001153256,0.0001743737,0.001567188,0.000230509,0.0004775106,0.00005501636,0.001667775,0.000003726779],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981796,0.0001357851,0.00008466301,0.00002355145,9.971603e-7,0.00000960714,0.0002766484,0.00000698795,0.001282261],"genre_scores_gemma":[0.9973858,0.0001950653,0.000584567,0.00001760769,0.000001183495,0.000007177033,0.0005938949,0.000004056049,0.001210612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6643476,"threshold_uncertainty_score":0.6752582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009515719501126119,"score_gpt":0.1832467022321936,"score_spread":0.1737309827310675,"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."}}