{"id":"W4249573053","doi":"10.2307/j.ctt1qnw8gv.5","title":"Rivers, Industrial Cities, and Hinterland Production in Quebec in the Nineteenth and Twentieth Centuries","year":2017,"lang":"en","type":"book-chapter","venue":"University of Pittsburgh Press eBooks","topic":"Historical Studies and Socio-cultural Analysis","field":"Arts and Humanities","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geography; Archaeology; Production (economics); Economic geography; History; Economics","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":[0.0003895726,0.0002382905,0.0002271282,0.001879262,0.005815922,0.004127054,0.000958326,0.0006489519,0.00917833],"category_scores_gemma":[0.001035897,0.0003266157,0.000256066,0.006736603,0.003970142,0.001027007,0.0009893078,0.0009571754,0.0002579794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07840466,"about_ca_system_score_gemma":0.04166673,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9970322,"about_ca_topic_score_gemma":0.9992711,"domain_scores_codex":[0.9995596,0.00006618205,0.00001300841,0.00005129378,0.00008581125,0.0002241198],"domain_scores_gemma":[0.9995269,0.00009628612,0.0000690578,0.00002008371,0.0001795252,0.0001080606],"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":[0.0003289685,0.0002127798,0.2116836,0.0006858097,0.0001774706,0.002410724,0.1176594,0.006552691,0.001662174,0.3499223,0.07508864,0.2336155],"study_design_scores_gemma":[0.00002960121,0.00003456722,0.5255774,0.0007530618,0.00006701995,0.0002467103,0.04954558,0.001341725,0.0003752442,0.004784989,0.4171724,0.0000717181],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7730293,0.03049982,0.00075148,0.009684549,0.0001656548,0.00005967345,0.003142088,0.00007721456,0.1825903],"genre_scores_gemma":[0.9125443,0.008133238,0.000488116,0.0004752544,0.00002838589,0.00002736982,0.000507056,0.00003701858,0.07775927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07840466,"threshold_uncertainty_score":0.5688683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04373762618984227,"score_gpt":0.1893957899656619,"score_spread":0.1456581637758196,"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."}}