{"id":"W2745807775","doi":"","title":"Why Won’t You Do What’s Good for Your? Using Intelligent Support for Behavior Change","year":2011,"lang":"en","type":"other","venue":"Digital Academic REpository of VU University Amsterdam (Vrije Universiteit Amsterdam)","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"ZonMw","keywords":"Computer science; Artificial intelligence; Human–computer interaction","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":[],"consensus_categories":[],"category_scores_codex":[0.002841127,0.0002407514,0.0002280753,0.0005115104,0.001126421,0.003428696,0.000853451,0.0009330084,0.01145902],"category_scores_gemma":[0.009004527,0.0001415782,0.0003396661,0.0004674,0.0008512351,0.002368088,0.001349468,0.001014009,0.001889745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006772123,"about_ca_system_score_gemma":0.001219304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001479309,"about_ca_topic_score_gemma":0.003065541,"domain_scores_codex":[0.9981276,0.001232087,0.00006569081,0.0001330909,0.0002510688,0.0001903929],"domain_scores_gemma":[0.9953386,0.003003153,0.0003353189,0.0003769294,0.0002026837,0.0007433722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005498186,0.002913929,0.02430181,0.0004236033,0.0001453478,0.000449438,0.04827846,0.0004838334,0.001646492,0.01260491,0.03550322,0.8726991],"study_design_scores_gemma":[0.001182369,0.003279842,0.1079537,0.002434837,0.0008603856,0.001744709,0.1708505,0.01285392,0.008091902,0.09180891,0.5986905,0.0002485278],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.645992,0.004136365,0.01970465,0.04262175,0.0007474312,0.0003282526,0.0002764536,0.001390847,0.2848022],"genre_scores_gemma":[0.9611567,0.001298723,0.01471866,0.001450523,0.0000769096,0.0001713538,0.0001520736,0.00007966975,0.02089554],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01145902,"threshold_uncertainty_score":0.03833425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08223897600621977,"score_gpt":0.2595714960773414,"score_spread":0.1773325200711217,"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."}}