{"id":"W2584084234","doi":"","title":"Regulatory issues concerning new media alternatives to television","year":2013,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Asian Culture and Media Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Advertising; Law and economics; Computer science; Economics","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":[0.02088847,0.0004343946,0.000510372,0.002301779,0.007736749,0.01355828,0.004417434,0.01203414,0.01362673],"category_scores_gemma":[0.04694308,0.0006506707,0.0009310534,0.002583364,0.01197222,0.007776671,0.003145786,0.0141973,0.001385661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02218219,"about_ca_system_score_gemma":0.02900001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3645568,"about_ca_topic_score_gemma":0.4683291,"domain_scores_codex":[0.9668573,0.006872065,0.001203219,0.002942105,0.0184302,0.00369511],"domain_scores_gemma":[0.9426989,0.0334353,0.002405729,0.002527521,0.0166797,0.002252958],"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":[0.00003871759,0.00004036088,0.0006052132,0.0001030621,0.000008241949,0.0002080672,0.002493784,0.0003012792,0.0005928448,0.9410428,0.03955631,0.01500928],"study_design_scores_gemma":[0.00006577458,0.00008486404,0.004136284,0.0007856287,0.00004600791,0.0003477531,0.004240686,0.0009523344,0.001645662,0.06091382,0.9266615,0.0001196379],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02546528,0.01007363,0.007499562,0.1891875,0.003056394,0.0001491517,0.0003484028,0.0002121872,0.764008],"genre_scores_gemma":[0.5968868,0.01127585,0.00933204,0.1819433,0.00513434,0.0004556511,0.0004521366,0.0002810426,0.1942389],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3645568,"threshold_uncertainty_score":0.7248697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02958354893683977,"score_gpt":0.3085049087330965,"score_spread":0.2789213597962567,"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."}}