{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001043275,0.0001696767,0.000348897,0.00008081371,0.0009233457,0.00007271404,0.0001840612,0.0001264512,0.0000523759],"category_scores_gemma":[0.000009906986,0.000130113,0.00007887662,0.00000188778,0.001033729,0.0001066921,0.0001447964,0.0002914333,2.294469e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001970392,"about_ca_system_score_gemma":0.00001438123,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1352059,"about_ca_topic_score_gemma":0.2230935,"domain_scores_codex":[0.9993084,0.000034575,0.000140205,0.0002362584,0.0001594874,0.0001210633],"domain_scores_gemma":[0.9995347,0.00003535877,0.0002037831,0.0001494624,0.00004830892,0.00002837666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002210305,0.00003613565,0.0004688691,0.0001516981,0.0003690604,0.00007743233,0.6995962,0.000001437506,0.00000129904,0.2347871,0.04044823,0.02384146],"study_design_scores_gemma":[0.0004591591,0.00004360782,0.0001119589,0.0001632431,0.000150351,5.024881e-7,0.008555884,7.398217e-7,3.239249e-7,0.00606481,0.9842773,0.0001720898],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1314861,0.00660475,0.000004283155,0.008356526,0.001700934,0.001815676,0.0001940339,0.00006801213,0.8497697],"genre_scores_gemma":[0.06169051,0.002121397,0.00000211621,0.00001337965,0.0002696225,4.955414e-7,0.00001280982,0.000007425983,0.9358823],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9438291,"threshold_uncertainty_score":0.8705528,"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."}}