{"id":"W7028102353","doi":"","title":"EFEKTIVITAS MODELING TERHADAP PENINGKATAN EMPATI PADA REMAJA DI UPTD KAMPUNG ANAK NEGERI KOTA SURABAYA","year":2019,"lang":"id","type":"dissertation","venue":"Universitas Airlangga Repository (Universitas Airlangga)","topic":"Occupational exposure and asthma","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Empathy; Conversation; Qualitative analysis","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":[0.001174314,0.001213096,0.0006847017,0.0005662566,0.0009833309,0.004458915,0.001525608,0.00129884,0.01814942],"category_scores_gemma":[0.002784788,0.000539796,0.001203107,0.0006245048,0.0007742259,0.00269874,0.001687592,0.00180464,0.003892705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001932605,"about_ca_system_score_gemma":0.002667788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0315263,"about_ca_topic_score_gemma":0.03913214,"domain_scores_codex":[0.9993327,0.0001689828,0.00003838053,0.0001317536,0.0002418573,0.00008631438],"domain_scores_gemma":[0.9990116,0.000451873,0.00006829423,0.0001141893,0.0002933274,0.00006065798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0006022222,0.0006899686,0.02100327,0.001071774,0.0003933662,0.0006871024,0.003159006,0.5129626,0.03006936,0.1022317,0.02861661,0.2985131],"study_design_scores_gemma":[0.00003453727,0.0002252856,0.007815818,0.0002166094,0.0002276679,0.0001382934,0.001442672,0.8810635,0.0116118,0.03218849,0.06492162,0.0001137114],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.162418,0.002793986,0.6260923,0.00669953,0.0008811075,0.0004233555,0.002720218,0.004349986,0.1936215],"genre_scores_gemma":[0.743755,0.002902748,0.1198989,0.0005851728,0.0001446507,0.0003791187,0.002261494,0.0005439816,0.129529],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0315263,"threshold_uncertainty_score":0.06268561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01073030826406391,"score_gpt":0.2259993152906028,"score_spread":0.2152690070265389,"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."}}