{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003050617,0.0006174584,0.0003318783,0.002395541,0.002718512,0.003777677,0.002258996,0.00438494,0.04018341],"category_scores_gemma":[0.005408613,0.000544644,0.0007108875,0.001491688,0.001589945,0.001548895,0.003311896,0.001980456,0.0121116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004868854,"about_ca_system_score_gemma":0.01589785,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1664115,"about_ca_topic_score_gemma":0.1829551,"domain_scores_codex":[0.9926744,0.0005251484,0.0002453993,0.0005041134,0.004735107,0.001315773],"domain_scores_gemma":[0.9946161,0.0008060458,0.0004536413,0.0004274778,0.003327845,0.0003689514],"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":[0.0002587802,0.000367463,0.007136289,0.0008123852,0.00003422338,0.0008424895,0.002553486,0.001584394,0.01132885,0.3257914,0.5552822,0.09400804],"study_design_scores_gemma":[0.00002269266,0.0000301953,0.007242967,0.0002266745,0.00001410348,0.0001301631,0.0003708438,0.0007161073,0.002877697,0.0024324,0.9859031,0.00003305096],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01198168,0.0007389788,0.005135731,0.002505262,0.0002580818,0.0003477948,0.003617562,0.0009078332,0.974507],"genre_scores_gemma":[0.08780725,0.0007567498,0.007267002,0.005880781,0.00009470493,0.0009983907,0.005408727,0.0005556794,0.8912307],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8335885,"threshold_uncertainty_score":0.3308856,"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."}}