{"id":"W2608506182","doi":"","title":"Правовое регулирование доступа к информации на примере Канады (сравнительно-правовая характеристика)","year":2016,"lang":"ru","type":"article","venue":"Вестник Международного института экономики и права","topic":"Legal and Policy Issues","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Freedom of information; Transparency (behavior); Political science; Public access; Access to information; Information access; Law; Public relations; Public administration; Library science; Computer science","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","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.004899913,0.003450614,0.003680509,0.00181077,0.003977875,0.001792283,0.006034543,0.003099865,0.02468106],"category_scores_gemma":[0.00251103,0.002720778,0.002399819,0.005043182,0.003931994,0.003842877,0.001828415,0.002384888,0.04932633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001891691,"about_ca_system_score_gemma":0.003060191,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01187563,"about_ca_topic_score_gemma":0.006370529,"domain_scores_codex":[0.9760051,0.003120908,0.003932879,0.00439773,0.005064944,0.007478436],"domain_scores_gemma":[0.9851183,0.003305745,0.002077652,0.004300779,0.001347032,0.003850485],"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":[0.001359301,0.002309371,0.01698162,0.0008512499,0.002100881,0.000856958,0.05493415,0.00002315739,0.01970013,0.2535279,0.4890172,0.1583381],"study_design_scores_gemma":[0.004856698,0.001032483,0.00494039,0.001506098,0.000740181,0.00009975614,0.003481558,0.00006078597,0.007898924,0.01867743,0.9522015,0.004504206],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2238846,0.01314162,0.0008427236,0.09591646,0.02224693,0.005186099,0.00280884,0.003654709,0.632318],"genre_scores_gemma":[0.6747013,0.00608759,0.0005935656,0.004321445,0.01203356,0.0002848094,0.00009773552,0.0005288325,0.3013511],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4631843,"threshold_uncertainty_score":0.9999167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04184798467317263,"score_gpt":0.3637644786133921,"score_spread":0.3219164939402195,"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."}}