{"id":"W6986839747","doi":"","title":"Regulation of robocalls and robotexts Australia, Brazil, Canada, European Union, France, India, Ireland, Israel, Japan, Mexico, Romania, Russian Federation, Singapore, South Africa, Sweden, United Kingdom, United States","year":2024,"lang":"en","type":"other","venue":"","topic":"Environmental Science and Water Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission","keywords":"Government (linguistics); State (computer science); European union; Legislation","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005451183,0.0005633983,0.000412634,0.0004490031,0.0002116953,0.0002118852,0.0004681461,0.0002034263,0.004747693],"category_scores_gemma":[0.000008859151,0.0004775903,0.00006648883,0.001069422,0.0004823246,0.0002207222,0.0004884169,0.0002860255,0.0006308128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002750455,"about_ca_system_score_gemma":0.00002101266,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5332009,"about_ca_topic_score_gemma":0.275212,"domain_scores_codex":[0.996641,0.000284173,0.0006324444,0.0009481284,0.0009263894,0.0005678587],"domain_scores_gemma":[0.9987276,0.00002272565,0.0004233223,0.0005317985,0.000008350646,0.0002862719],"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":[0.000009859344,0.0001379463,0.05354963,0.000175815,0.0001751889,0.00005956792,0.00144806,0.009567647,0.000495158,0.001238632,0.9323247,0.0008177848],"study_design_scores_gemma":[0.0004741372,0.0001169841,0.1699304,0.0003162264,0.0001202769,0.000005475886,0.0003754749,0.00103513,0.0001685551,0.0003452733,0.8262962,0.0008158218],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.09757029,0.0004056778,0.00297484,0.002757619,0.0009287365,0.00245015,0.0005454569,0.0004984362,0.8918688],"genre_scores_gemma":[0.4511484,0.00004085824,0.0004993085,0.0004866612,0.00005720653,0.000009912882,0.0008146422,0.0002065531,0.5467365],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3535781,"threshold_uncertainty_score":0.9997676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01323958189959414,"score_gpt":0.2200656510164614,"score_spread":0.2068260691168673,"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."}}