{"id":"W2150923836","doi":"10.1111/add.13174","title":"You need to see the world in order to measure it: The importance of a high follow‐up rate","year":2015,"lang":"en","type":"letter","venue":"Addiction","topic":"Mental Health Research Topics","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Addiction and Mental Health","funders":"","keywords":"Incentive; Attrition; Context (archaeology); Psychological intervention; Psychology; Intervention (counseling); Coupon; Download; Order (exchange); Social psychology; Actuarial science; Applied psychology; Medicine; Business; Economics; Computer science; Psychiatry; Finance","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2592387,0.0006310873,0.002988983,0.002387241,0.003020147,0.005019575,0.003007169,0.01169735,0.00705597],"category_scores_gemma":[0.5839152,0.0007183655,0.001473443,0.002080173,0.004750179,0.01011979,0.004010933,0.01199027,0.003355111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00363735,"about_ca_system_score_gemma":0.006226881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005004055,"about_ca_topic_score_gemma":0.004055316,"domain_scores_codex":[0.8017712,0.146934,0.01410651,0.00642403,0.02873316,0.002031175],"domain_scores_gemma":[0.3682069,0.4892849,0.04326474,0.03472091,0.05163988,0.01288271],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003671291,0.0006238588,0.03139181,0.005762956,0.0006585983,0.0006499542,0.005016242,0.0003423387,0.0008811527,0.02777154,0.4189398,0.5042904],"study_design_scores_gemma":[0.002196005,0.007403927,0.1462035,0.04252205,0.001728295,0.004703039,0.006901495,0.008592777,0.005491464,0.09802609,0.674931,0.001300226],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.02071601,0.03328651,0.01839717,0.8755698,0.04099265,0.001611242,0.001008571,0.000361374,0.008056765],"genre_scores_gemma":[0.2855608,0.01908092,0.06233361,0.5912001,0.02294396,0.01160833,0.0007339147,0.0004674706,0.006070889],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.7407613,"threshold_uncertainty_score":0.9134906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09390488041867556,"score_gpt":0.3919529332493561,"score_spread":0.2980480528306805,"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."}}