{"id":"W1981515175","doi":"10.1002/mpr.92","title":"Studying the incidence of depression: an ‘interval’ effect","year":2000,"lang":"en","type":"article","venue":"International Journal of Methods in Psychiatric Research","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"National Institute of Mental Health; National Institutes of Health","keywords":"Incidence (geometry); Depression (economics); Demography; Anxiety; Epidemiology; Population; Medicine; Psychology; Confidence interval; Interval (graph theory); Prodrome; Psychiatry; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"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"],"consensus_categories":[],"category_scores_codex":[0.03959507,0.00006855799,0.00022934,0.0004507394,0.0002459595,0.00009583603,0.001700734,0.00007866728,0.0008145309],"category_scores_gemma":[0.003394173,0.00004354299,0.0001317791,0.0006641598,0.0002381576,0.0002815929,0.00007582435,0.0007804674,0.00000513095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001757279,"about_ca_system_score_gemma":0.0004781819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004091858,"about_ca_topic_score_gemma":0.0005990799,"domain_scores_codex":[0.9896179,0.007399003,0.0007654174,0.0001348459,0.001749757,0.0003330339],"domain_scores_gemma":[0.9936485,0.005133277,0.0002346465,0.0001758121,0.0006670272,0.0001407191],"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":[0.0003851681,0.0001293814,0.3668927,0.00002386877,0.00003726153,0.00002365454,0.006164496,0.0001096633,0.00002092648,0.002808505,0.001030757,0.6223736],"study_design_scores_gemma":[0.002450687,0.0009316315,0.861078,0.0007242435,0.00002775892,0.0000981266,0.01640555,0.0005867252,0.0003796776,0.03384348,0.08323587,0.000238305],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9667285,0.002953603,0.001596937,0.009625471,0.002544923,0.0002924803,0.000001779765,0.000005589211,0.0162507],"genre_scores_gemma":[0.9621522,0.002773873,0.03317085,0.0002896231,0.001212668,0.000008698347,1.815705e-7,0.000008628399,0.0003832853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6221353,"threshold_uncertainty_score":0.988939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1826211731728827,"score_gpt":0.6273279264853987,"score_spread":0.444706753312516,"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."}}