{"id":"W3112034327","doi":"10.22215/etd/2012-07236","title":"Minding positive mental health : exploring theoretical explanations for positive mental health with Canadian national surveys","year":2012,"lang":"en","type":"dissertation","venue":"","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mental health; Psychology; Library science; Psychiatry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03127648,0.0007837853,0.0007860036,0.004159397,0.01026058,0.007659526,0.00364555,0.001610607,0.008163037],"category_scores_gemma":[0.09454281,0.0007528565,0.001287518,0.0101366,0.00816611,0.005619994,0.006268052,0.003108744,0.0001749863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05859243,"about_ca_system_score_gemma":0.065758,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9608748,"about_ca_topic_score_gemma":0.9639057,"domain_scores_codex":[0.9911813,0.004818592,0.0003203687,0.0007299431,0.001432616,0.001517196],"domain_scores_gemma":[0.947529,0.03485075,0.004510746,0.002935014,0.008360351,0.001814207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001431302,0.0003105318,0.4248663,0.000457048,0.0002204187,0.0002605967,0.2270998,0.0007032857,0.00009779079,0.2701458,0.007798645,0.06789656],"study_design_scores_gemma":[0.0001273553,0.00007691628,0.4150839,0.00296187,0.0006893551,0.0001616399,0.4294244,0.007602,0.0002884999,0.1113489,0.03206553,0.0001696568],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8012546,0.007632063,0.0101283,0.06353886,0.0003584072,0.0007435937,0.002193424,0.00003885859,0.114112],"genre_scores_gemma":[0.9920373,0.001875097,0.002684002,0.001257798,0.00003605084,0.0002050519,0.0004105279,0.00001374038,0.001480392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05859243,"threshold_uncertainty_score":0.4251198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05810152577619985,"score_gpt":0.3853014348839225,"score_spread":0.3271999091077227,"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."}}