{"id":"W3187658454","doi":"","title":"콘텐츠 산업 근로시간 규제 및 단체협약에 관한 주요국 사례검토 — 영국, 미국, 캐나다, 프랑스, 독일 —","year":2019,"lang":"ko","type":"article","venue":"노동법논총","topic":"Educational Systems and Policies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Order (exchange); Working time; Work (physics); Confusion; Productivity; Business; Collective agreement; Balance (ability); Content analysis; Political science; Collective bargaining; Law; Economics; Economic growth; Engineering; Sociology; Finance; Medicine; 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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005526895,0.0003693227,0.0004470382,0.0001627967,0.0002800637,0.0005473326,0.001424618,0.0002284006,0.001168637],"category_scores_gemma":[0.00005439454,0.0003465251,0.0002253179,0.0005701341,0.0001064998,0.0005491835,0.0004044238,0.0003264972,0.01598194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001388505,"about_ca_system_score_gemma":0.0005386861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002916473,"about_ca_topic_score_gemma":0.0001413333,"domain_scores_codex":[0.9970748,0.0001665384,0.0005680749,0.0007165635,0.0006905823,0.0007834402],"domain_scores_gemma":[0.9975945,0.0002797401,0.0002835036,0.001317573,0.0002215649,0.0003030697],"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":[0.00001521542,0.000535835,0.1978898,0.0003944073,0.0001934236,0.00002185229,0.03043124,0.000240437,0.001900622,0.4246935,0.33443,0.009253617],"study_design_scores_gemma":[0.0005683342,0.0002511879,0.2046195,0.0003318716,0.00003000408,0.00006629615,0.000601263,0.002526674,0.0008529492,0.00356016,0.7857374,0.0008543805],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8871796,0.003144347,0.00136284,0.01788039,0.01552926,0.0008054591,0.00005238024,0.0002185994,0.07382718],"genre_scores_gemma":[0.9017639,0.00008213966,0.00100194,0.002166236,0.002486288,0.00002518977,0.00001316421,0.00003392862,0.09242719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4513073,"threshold_uncertainty_score":0.9998987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01752461835519992,"score_gpt":0.2708304990271698,"score_spread":0.2533058806719699,"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."}}