{"id":"W7099826804","doi":"","title":"Steel Manufacturers at the Margin in Nova Scotia","year":2013,"lang":"en","type":"article","venue":"","topic":"Dutch Social and Cultural Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nova scotia; Iron ore; Steel mill; Margin (machine learning); Pig iron","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001748115,0.00006277944,0.00007910685,0.000008432984,0.0004100121,0.00006446408,0.0001652748,0.00004340933,0.01044834],"category_scores_gemma":[0.00003760774,0.0000317133,0.00004167002,0.0001438874,0.0002637362,0.0001292315,0.00007127506,0.00006643478,0.002481183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000111473,"about_ca_system_score_gemma":0.00001470441,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.115095,"about_ca_topic_score_gemma":0.5265979,"domain_scores_codex":[0.9993011,0.00006347563,0.00008342759,0.0001027363,0.0002012432,0.000248026],"domain_scores_gemma":[0.9997947,0.00005709822,0.0000218543,0.00005742301,0.00002923781,0.00003968402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000007934897,0.00006320177,0.0841732,0.00000740048,0.00004826238,0.000003052745,0.1044732,0.000007204804,0.0003968015,0.05438481,0.7226082,0.0338268],"study_design_scores_gemma":[0.000196324,0.00001064018,0.4940952,0.000007042105,0.000005609006,1.763963e-7,0.0737294,0.00000132798,0.0002134829,0.007098507,0.424458,0.0001842554],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5671459,0.0001160125,4.131739e-7,0.02278627,0.0001856123,0.0002039003,5.238933e-7,0.00002404817,0.4095373],"genre_scores_gemma":[0.8769579,0.00004064406,0.0000176708,0.001160334,0.0001044593,0.000008766939,6.381397e-7,0.00000224414,0.1217074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4115029,"threshold_uncertainty_score":0.9982955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02563168976072698,"score_gpt":0.2834514557241305,"score_spread":0.2578197659634035,"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."}}