{"id":"W7000887302","doi":"","title":"Hiawatha LRT Potential Commuters.","year":2006,"lang":"en","type":"report","venue":"University of Minnesota Digital Conservancy (University of Minnesota)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Minnesota; Minnesota Housing Finance Agency; Technology Opportunities Program; U.S. Department of Commerce","keywords":"Downtown; Metropolitan area; Quarter (Canadian coin); Twin cities; Mile; Light rail transit","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":[0.000301503,0.0004723359,0.0001592221,0.001423061,0.001452171,0.001076721,0.0005033749,0.0002726332,0.06050965],"category_scores_gemma":[0.001125798,0.0004445605,0.0001842808,0.002361468,0.00009148518,0.000650336,0.001027902,0.0003374244,0.01544824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001468032,"about_ca_system_score_gemma":0.003523176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3359888,"about_ca_topic_score_gemma":0.6676651,"domain_scores_codex":[0.999737,0.00001782046,0.00001635728,0.0000600216,0.0001147139,0.00005409324],"domain_scores_gemma":[0.9990813,0.00005534567,0.00009076788,0.0001077612,0.0004709481,0.0001939288],"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":[0.0001698617,0.0001777597,0.2378436,0.0002319944,0.00002157564,0.0004094964,0.002503031,0.0003497039,0.001221194,0.001447295,0.6313658,0.1242587],"study_design_scores_gemma":[0.00002427747,0.00009640961,0.4907128,0.0001053651,0.00003016066,0.000353171,0.004438758,0.0007535177,0.001461108,0.0002079089,0.5017881,0.00002830852],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1698844,0.0005645616,0.002824253,0.001067447,0.0001392137,0.001183244,0.4885383,0.0008932223,0.3349053],"genre_scores_gemma":[0.2541802,0.001242031,0.01405883,0.0004206984,0.00005227196,0.002265766,0.2332085,0.0002989164,0.4942729],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3359888,"threshold_uncertainty_score":0.6680663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01921745871261757,"score_gpt":0.1976801738909642,"score_spread":0.1784627151783467,"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."}}