{"id":"W6902854000","doi":"10.7916/d8-6x83-r843","title":"Page No. 096 - [Bank of Montreal, metal screen]","year":2020,"lang":"en","type":"article","venue":"Columbia Academic Commons (Columbia University)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Metal; Copper; Yield (engineering); Zinc","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":["insufficient_payload"],"category_scores_codex":[0.0003683841,0.000198492,0.0008723972,0.0002077562,0.0003655138,0.0001117586,0.001092852,0.0002666881,0.01041115],"category_scores_gemma":[0.0002448584,0.0003986789,0.0003491513,0.0009086581,0.0004386808,0.0005215734,0.000711667,0.0005163933,0.005174437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001652002,"about_ca_system_score_gemma":0.00005825647,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03033695,"about_ca_topic_score_gemma":0.01113585,"domain_scores_codex":[0.9978427,0.00004354221,0.0006996989,0.0008166069,0.00008108836,0.0005164166],"domain_scores_gemma":[0.9983982,0.0001082097,0.0005833401,0.0004846619,0.00009405112,0.0003315798],"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":[0.00005562175,0.00009453587,0.1478395,0.00005243816,0.0003356815,0.00003043412,0.0006768494,0.00002625669,0.0001024289,0.006215801,0.8439841,0.0005863316],"study_design_scores_gemma":[0.001830863,0.0001468301,0.03408653,0.00002954779,0.0000892043,0.000002101686,0.001029341,0.00156731,0.00001432316,0.001058101,0.9595778,0.000568019],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2664798,0.0006507766,0.0001285284,0.0004872284,0.0008985732,0.0004587369,0.002278114,0.0001481208,0.7284701],"genre_scores_gemma":[0.6528719,0.0005321199,0.000230871,0.0003473268,0.0001417637,0.000002843982,0.00003188514,0.00003412884,0.3458072],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3863921,"threshold_uncertainty_score":0.9998465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0444731535267877,"score_gpt":0.1879899901151849,"score_spread":0.1435168365883972,"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."}}