{"id":"W3204306570","doi":"10.1016/j.telpol.2021.102247","title":"Willingness to pay and pricing for broadband across the rural/urban divide in Canada","year":2021,"lang":"en","type":"article","venue":"Telecommunications Policy","topic":"ICT Impact and Policies","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Broadband; Willingness to pay; Business; Digital divide; Subsidy; Internet access; Service (business); Rural area; Quality (philosophy); Universal service; Economic growth; The Internet; Telecommunications; Marketing; Economics; Political science","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":[0.001017469,0.0001700664,0.0003945427,0.001272065,0.005241006,0.004634476,0.001398278,0.001350069,0.009481426],"category_scores_gemma":[0.004941822,0.0002829633,0.0005216582,0.00287045,0.001731647,0.0009594434,0.001246131,0.002032537,0.0003424746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09163164,"about_ca_system_score_gemma":0.07249467,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9968235,"about_ca_topic_score_gemma":0.9983385,"domain_scores_codex":[0.9979128,0.000114685,0.0000376741,0.0001171434,0.0003825096,0.001435175],"domain_scores_gemma":[0.9953923,0.0008358569,0.0003177285,0.0000681127,0.001237579,0.002148351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009176158,0.0007979147,0.6670135,0.0001797775,0.0001603513,0.001305709,0.01427715,0.01317066,0.00145681,0.1683171,0.05444113,0.0779623],"study_design_scores_gemma":[0.00009107374,0.00007838015,0.8956095,0.0001680139,0.00008625756,0.0001652888,0.04028793,0.01315834,0.0004366269,0.007218495,0.04258767,0.0001123443],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9566135,0.0007659525,0.0002262746,0.01121267,0.0000389309,0.00002689909,0.000953658,0.00002450898,0.03013767],"genre_scores_gemma":[0.9875901,0.0002707035,0.0000910155,0.0004917695,0.000009933891,0.000005660642,0.0001793019,0.00001068919,0.01135097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09163164,"threshold_uncertainty_score":0.6648372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01318239077735567,"score_gpt":0.2812590280084079,"score_spread":0.2680766372310522,"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."}}