{"id":"W2603474068","doi":"","title":"Minerals of Iron Monarch","year":2013,"lang":"en","type":"article","venue":"The Canadian Mineralogist","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mineral; Geochemistry; Geology; Mineralogy; Metallurgy; Materials science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0001506056,0.0004657291,0.000227821,0.001655842,0.001406067,0.0008741865,0.0002934433,0.0004543971,0.01329733],"category_scores_gemma":[0.0002109132,0.0002219002,0.000129489,0.001295783,0.0006346134,0.0009161351,0.000913609,0.0004875694,0.003199588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002314853,"about_ca_system_score_gemma":0.001225265,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1181116,"about_ca_topic_score_gemma":0.259552,"domain_scores_codex":[0.9998831,0.000006760228,0.000004538091,0.00002260463,0.00005316743,0.0000298563],"domain_scores_gemma":[0.9999527,0.000002728601,0.000008972046,0.000003537149,0.00001892632,0.00001317524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004187272,0.00004338822,0.008887543,0.001864646,0.00003665164,0.0007404785,0.00226093,0.0002371361,0.04059184,0.02415527,0.33097,0.5897935],"study_design_scores_gemma":[0.000002403046,0.00001718059,0.01754159,0.0000973148,0.000005214306,0.0003717927,0.0004509605,0.00002040088,0.001387959,0.001657071,0.9784433,0.00000495497],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08503374,0.4340282,0.001474852,0.01034227,0.002064424,0.00007277705,0.004324515,0.0003754201,0.4622838],"genre_scores_gemma":[0.2435709,0.0822587,0.002193003,0.001588785,0.0005741445,0.00002259584,0.002203297,0.00009436347,0.6674942],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8818884,"threshold_uncertainty_score":0.2348483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0179632100645811,"score_gpt":0.209971484783816,"score_spread":0.1920082747192349,"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."}}