{"id":"W7099558790","doi":"","title":"Understanding the Benefits of Broadband: Insights for a Broadband Enabled Ontario","year":2007,"lang":"en","type":"article","venue":"","topic":"Crime, Deviance, and Social Control","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Broadband; Process (computing); Key (lock); Government (linguistics); Work (physics)","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":[0.0004773685,0.0001537243,0.0002401517,0.0007681454,0.004469059,0.002919866,0.0005443624,0.0006382451,0.004551047],"category_scores_gemma":[0.00245428,0.0001386868,0.0002577109,0.001747893,0.002282707,0.001696665,0.001428661,0.001102889,0.0001122548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03401853,"about_ca_system_score_gemma":0.03605237,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9840924,"about_ca_topic_score_gemma":0.9951748,"domain_scores_codex":[0.9994649,0.00009681086,0.000009697696,0.00003412144,0.0001100861,0.0002844485],"domain_scores_gemma":[0.9985797,0.0004145982,0.0001841752,0.00005841129,0.0004072155,0.0003558082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003004019,0.000333009,0.649951,0.000151505,0.00009427536,0.001767432,0.09657902,0.004479137,0.002142712,0.1730576,0.01394943,0.05719443],"study_design_scores_gemma":[0.00003846671,0.00006345494,0.7352295,0.0001210054,0.00009171884,0.000121269,0.2018159,0.00503345,0.0003419321,0.01968741,0.03740704,0.00004889395],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.948647,0.0002249709,0.0004048001,0.009745729,0.000008134471,0.00003012021,0.0002759518,0.000003587637,0.04065969],"genre_scores_gemma":[0.9955673,0.0003998123,0.0001228619,0.000263606,0.000006482472,0.000007777341,0.00004414475,0.000002580485,0.003585416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03401853,"threshold_uncertainty_score":0.2468229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09265387979977593,"score_gpt":0.3100434027330403,"score_spread":0.2173895229332643,"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."}}