{"id":"W4385312600","doi":"10.59962/9780774837101-007","title":"Competing Anti-Censorships and Mixed Legal Outcomes","year":2019,"lang":"en","type":"book-chapter","venue":"University of British Columbia Press eBooks","topic":"Media Influence and Politics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002892631,0.0001212267,0.0005126948,0.00004075258,0.0003907047,0.0001976628,0.0003900073,0.0004008579,0.0002853159],"category_scores_gemma":[0.00005982947,0.0002808401,0.0001447944,0.000005669256,0.001077144,0.0001173817,0.0001844775,0.0003276081,0.00001535006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004469158,"about_ca_system_score_gemma":0.0002929104,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3829914,"about_ca_topic_score_gemma":0.5350345,"domain_scores_codex":[0.9986402,0.00009000667,0.0001921725,0.000318564,0.000433405,0.0003256744],"domain_scores_gemma":[0.9988686,0.0002663574,0.0002598621,0.0002170524,0.0001966389,0.0001915194],"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":[0.00005704465,0.0001333605,0.06232085,0.001873315,0.001246985,0.002302764,0.03269716,0.000006546443,0.00002583826,0.7351254,0.0976382,0.06657249],"study_design_scores_gemma":[0.0004741631,0.00002750386,0.004557183,0.0004992296,0.0001238564,0.000008093469,0.001480039,0.000002167548,0.000001019793,0.0008424167,0.9916356,0.00034872],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.09092044,0.0001421723,0.000001597052,0.00003390811,0.0003578208,0.0003620257,0.0003759241,0.00005800153,0.9077481],"genre_scores_gemma":[0.06568103,0.0003827669,0.0001200304,0.00007849212,0.00009016753,1.160815e-7,0.00001270103,0.00002032749,0.9336144],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8939974,"threshold_uncertainty_score":0.9999644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02994955094602831,"score_gpt":0.2254631506077226,"score_spread":0.1955135996616943,"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."}}