{"id":"W2948330058","doi":"","title":"Hiawatha LRT Potential Commuters.","year":2006,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Downtown; Metropolitan area; Quarter (Canadian coin); Twin cities; Mile; Geography; Transport engineering; Light rail transit; Work (physics); Cartography; Engineering; Public transport; Archaeology","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":[0.0002168596,0.0003311615,0.0001578524,0.0009201343,0.001457984,0.0009372025,0.0003604866,0.0002205311,0.0347076],"category_scores_gemma":[0.00109168,0.0002928888,0.000232118,0.001889864,0.0001204595,0.0005596317,0.001040136,0.0002890363,0.004992682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008815793,"about_ca_system_score_gemma":0.001626267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1846177,"about_ca_topic_score_gemma":0.4474548,"domain_scores_codex":[0.9998285,0.00001893908,0.0000100679,0.00005201942,0.00005469857,0.00003581887],"domain_scores_gemma":[0.9995601,0.00003843538,0.00006984211,0.00006709383,0.0001775061,0.00008705887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003301599,0.000170942,0.6410462,0.000315389,0.00006127337,0.001073998,0.007663834,0.0007074679,0.003193616,0.00310312,0.1416866,0.2006476],"study_design_scores_gemma":[0.00002624153,0.0001602773,0.7673987,0.00008884533,0.00006626249,0.0008598421,0.01108678,0.001747352,0.002146636,0.0005846714,0.2157843,0.00005006003],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7393616,0.0004113817,0.005127592,0.0006376622,0.0001032887,0.0007939319,0.09861117,0.0003776134,0.1545758],"genre_scores_gemma":[0.8144791,0.0005045739,0.01545953,0.0002255528,0.00002529334,0.001128014,0.04229038,0.0001050888,0.1257825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1846177,"threshold_uncertainty_score":0.3670861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01028154940635646,"score_gpt":0.2663551442846439,"score_spread":0.2560735948782875,"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."}}