{"id":"W3133799399","doi":"10.21203/rs.3.rs-96291/v1","title":"Depression: Improving Health Processes and Outcomes Through Implementation Science Research in China","year":2020,"lang":"en","type":"preprint","venue":"Research Square (Research Square)","topic":"Mental Health Treatment and Access","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Calgary; Centre for Addiction and Mental Health; York University","funders":"Canadian Institutes of Health Research; National Natural Science Foundation of China","keywords":"China; Health science; Depression (economics); Psychology; Political science; Medicine; Medical education; Economics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.044271,0.0008437059,0.001391322,0.005088928,0.005414742,0.001820841,0.003514264,0.0006715346,0.001213441],"category_scores_gemma":[0.002739308,0.0007345506,0.0001616949,0.009981506,0.003627378,0.001286538,0.009902633,0.01088373,0.0004267174],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.003833633,"about_ca_system_score_gemma":0.008629617,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08826138,"about_ca_topic_score_gemma":0.006817069,"domain_scores_codex":[0.9657671,0.009805457,0.001820903,0.004582042,0.01110469,0.006919747],"domain_scores_gemma":[0.9876432,0.004731645,0.0003877021,0.002300335,0.003148287,0.001788771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001765403,0.003428658,0.3961584,0.03316238,0.0001891694,0.001034252,0.07528722,0.00001386493,0.000420136,0.0108773,0.017933,0.4597302],"study_design_scores_gemma":[0.006952454,0.005289191,0.8422395,0.006018092,0.00001692388,0.00003867598,0.07500982,0.0003955746,0.001796144,0.05623259,0.004514688,0.001496349],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9063977,0.02167927,0.0001342229,0.03972154,0.0009849069,0.0202622,0.0005064737,0.0003061209,0.01000757],"genre_scores_gemma":[0.9882281,0.003150536,0.0006210461,0.0001632087,0.0006060086,0.006049027,0.0003823583,0.0001753924,0.000624257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4582339,"threshold_uncertainty_score":0.9999905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3314536648998637,"score_gpt":0.6294715057186983,"score_spread":0.2980178408188346,"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."}}