{"id":"W6923181431","doi":"10.1371/journal.pone.0091088.t001","title":"Summary of Longitudinal and Intervention Trials. Underline = Intervention.","year":2015,"lang":"en","type":"dataset","venue":"Figshare","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Intervention (counseling); Modality (human–computer interaction); Longitudinal study; Table (database); Longitudinal data; Scale (ratio); Column (typography)","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":[0.008228214,0.002198552,0.005872268,0.007180287,0.0006824219,0.002704035,0.002274025,0.001578025,0.2177707],"category_scores_gemma":[0.09782916,0.001181479,0.008379419,0.01116373,0.0005976628,0.002483195,0.002142778,0.002492881,0.01553454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00267425,"about_ca_system_score_gemma":0.007787365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01168611,"about_ca_topic_score_gemma":0.02408582,"domain_scores_codex":[0.9881572,0.003682784,0.00467966,0.001581764,0.001438072,0.0004605691],"domain_scores_gemma":[0.9537257,0.03386109,0.005519064,0.002348979,0.004026942,0.000518165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001732418,0.00004035897,0.002022564,0.4724953,0.01040304,0.00008204056,0.0001393461,0.0008246312,0.0002552111,0.0030244,0.4876074,0.02137326],"study_design_scores_gemma":[0.02042075,0.0003940972,0.01773526,0.1889656,0.03129677,0.0003385851,0.0003336283,0.001040646,0.0005502675,0.008982305,0.7297252,0.0002168446],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003978561,0.009673931,0.00104217,0.0005581637,0.0003488958,0.002767184,0.9828809,0.0002598608,0.002070953],"genre_scores_gemma":[0.03102991,0.03055292,0.01744073,0.004895911,0.0005753129,0.0932975,0.8094407,0.0009308279,0.01183624],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2177707,"threshold_uncertainty_score":0.7285156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2199883272541271,"score_gpt":0.4013597941997843,"score_spread":0.1813714669456573,"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."}}