{"id":"W6938864209","doi":"10.6068/dp14ba877195b15","title":"Trend 1999 - 2012. Statistics Canada. CANSIM: Information and Communications Technology - Television and Radio Industries | Country: Canada | Table: Radio broadcasting industry, by type of broadcaster | Variable: Private FM radio broadcasters, Salaries and other staff benefits | Units: , 1999-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-129.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Broadcasting (networking); Radio broadcasting; Census; Economic statistics; Official statistics; Commercial broadcasting; Cable television; Publication; Statistical analysis","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":[0.002108534,0.002450779,0.002891504,0.009296538,0.003547651,0.005066398,0.005386818,0.001606401,0.09483763],"category_scores_gemma":[0.02014404,0.001660068,0.00213757,0.04527055,0.0006700088,0.002840949,0.002314792,0.003262806,0.05668317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05141051,"about_ca_system_score_gemma":0.142315,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9937243,"about_ca_topic_score_gemma":0.9914985,"domain_scores_codex":[0.995342,0.0002939705,0.0004845723,0.0005964563,0.002274818,0.001008138],"domain_scores_gemma":[0.9609247,0.001362435,0.001114746,0.001060941,0.0338887,0.001648503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000212269,0.000006271422,0.0009257403,0.0002614091,0.00002070816,0.000006891555,0.00001961705,0.0001045717,0.000008890913,0.0003912328,0.9966716,0.001561818],"study_design_scores_gemma":[0.0001374108,0.00001217238,0.01984216,0.0008740618,0.00007621681,0.00002689871,0.0004316898,0.0004295539,0.0001625256,0.0006660377,0.977265,0.00007626283],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004845605,0.00005628847,0.00002568896,0.0001305811,0.00002906108,0.00001502423,0.9987612,0.00005149409,0.0008822083],"genre_scores_gemma":[0.0008229883,0.0003201873,0.0003673826,0.0001573037,0.00002162548,0.0001238564,0.9939755,0.0001136813,0.004097529],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09483763,"threshold_uncertainty_score":0.3730111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03349046604379465,"score_gpt":0.2523750626907429,"score_spread":0.2188845966469483,"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."}}