{"id":"W4387481321","doi":"10.1515/9780887554636-008","title":"Increasing Energy Costs, Climate Change, and Personal Transportation in Rural Ontario","year":2015,"lang":"en","type":"book-chapter","venue":"University of Manitoba Press eBooks","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Climate change; Energy (signal processing); Business; Natural resource economics; Environmental planning; Geography; Economics; Oceanography","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":[0.0001624194,0.0002018771,0.000145009,0.0006907343,0.005841016,0.002220772,0.000403677,0.0005655045,0.01521555],"category_scores_gemma":[0.0005461883,0.0002358179,0.0001641094,0.004260688,0.001182155,0.0007957909,0.0006543382,0.0006899202,0.0005677668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04630669,"about_ca_system_score_gemma":0.06701037,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9921124,"about_ca_topic_score_gemma":0.9988028,"domain_scores_codex":[0.9998009,0.00001570269,0.000006390354,0.00001683409,0.00007687569,0.00008330226],"domain_scores_gemma":[0.9997895,0.00003680598,0.00002018966,0.000005506876,0.00008347118,0.00006456535],"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":[0.00008633976,0.00009876901,0.05589914,0.0009236246,0.00003034223,0.001288148,0.09495973,0.00173608,0.002124115,0.1571658,0.4035049,0.2821831],"study_design_scores_gemma":[0.00000730738,0.00001795192,0.0907396,0.0002599674,0.00001905798,0.0001481387,0.03586875,0.0003528513,0.0002007013,0.003688886,0.8686759,0.00002089344],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2129213,0.0540568,0.0005347184,0.05450631,0.0005734175,0.00006963446,0.001939495,0.0000710013,0.6753273],"genre_scores_gemma":[0.3660969,0.0626044,0.0005946637,0.00141612,0.0001365124,0.00004270341,0.0004202449,0.00005440793,0.568634],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04630669,"threshold_uncertainty_score":0.3359801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06056601648198649,"score_gpt":0.2287157681372384,"score_spread":0.1681497516552519,"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."}}