{"id":"W7093558446","doi":"","title":"Manufacturing Montreal: The Making of an Industrial Landscape, 1850 to 1930,","year":2002,"lang":"","type":"article","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Process (computing); Manufacturing process; Key (lock); Production (economics); Manufacturing","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":[0.0004470742,0.000411594,0.00013838,0.001422352,0.00942356,0.00420546,0.00103731,0.001016214,0.02637343],"category_scores_gemma":[0.001334844,0.0003154661,0.0002232209,0.003233225,0.004120758,0.001481299,0.001583014,0.001340176,0.0009345604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07239644,"about_ca_system_score_gemma":0.04235581,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.974642,"about_ca_topic_score_gemma":0.9938384,"domain_scores_codex":[0.9994972,0.00004739379,0.00000896524,0.00006597118,0.0001252239,0.0002553374],"domain_scores_gemma":[0.9996413,0.00003764029,0.00004866461,0.00001636423,0.0001221234,0.0001339134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003263479,0.0001416649,0.04057006,0.0004689631,0.00006244634,0.003184965,0.05414647,0.002764232,0.002171155,0.4748711,0.2221823,0.1991103],"study_design_scores_gemma":[0.00000935054,0.00002814217,0.09358216,0.00009761521,0.00001003535,0.0001382414,0.006448696,0.0002057537,0.0004235927,0.00282564,0.8962001,0.00003082568],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1974794,0.01733209,0.001056878,0.03537804,0.0006922287,0.00009260142,0.003887959,0.000154859,0.7439259],"genre_scores_gemma":[0.6722013,0.007640525,0.0009914424,0.0009797137,0.0001600933,0.00003137662,0.0005951701,0.00005940975,0.3173409],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07239644,"threshold_uncertainty_score":0.5252754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04909721038870474,"score_gpt":0.2435589987584622,"score_spread":0.1944617883697574,"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."}}