{"id":"W2622653277","doi":"10.5325/jinfopoli.7.2017.0120","title":"A Question of Scarcity: Spectrum and Canada's Urban Core","year":2017,"lang":"en","type":"article","venue":"Journal of Information Policy","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Calgary","funders":"","keywords":"Scarcity; Spectrum management; Core (optical fiber); Spectrum (functional analysis); Frequency allocation; Element (criminal law); Broad spectrum; Political science; Regional science; Economic geography; Law and economics; Sociology; Telecommunications; Economics; Engineering; Law; Market economy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001086786,0.0001688088,0.000334869,0.001126228,0.01752966,0.008481617,0.001241638,0.001397297,0.007020027],"category_scores_gemma":[0.003365941,0.0001442472,0.0002467231,0.002482216,0.01300473,0.001741445,0.003622692,0.001242224,0.0001744789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0729306,"about_ca_system_score_gemma":0.07313566,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9840168,"about_ca_topic_score_gemma":0.9907343,"domain_scores_codex":[0.9976872,0.0003860172,0.0000223211,0.0001462983,0.0006499782,0.001108113],"domain_scores_gemma":[0.9981286,0.0005729605,0.00011998,0.00008899509,0.0006690961,0.0004204726],"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":[0.0001010841,0.0000460065,0.0218724,0.0001199578,0.00002396461,0.001985927,0.03783959,0.004126516,0.0006531567,0.8731934,0.02439975,0.03563827],"study_design_scores_gemma":[0.00004050806,0.00007748108,0.05993168,0.0006130693,0.00007541993,0.0007816858,0.3404086,0.0087856,0.001350843,0.1276025,0.460171,0.0001615405],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5431974,0.002086958,0.004647444,0.04345484,0.0001378716,0.00006210836,0.0003782836,0.00004406693,0.405991],"genre_scores_gemma":[0.992015,0.0002560315,0.0002538511,0.0005766228,0.00000928277,0.000004947097,0.00001574643,0.000007259088,0.006861281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0729306,"threshold_uncertainty_score":0.5291511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01738532455350581,"score_gpt":0.2258397659958524,"score_spread":0.2084544414423466,"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."}}