{"id":"W2142917246","doi":"10.1007/978-3-642-31037-9_1","title":"Determining the Determinants of Health Behaviour Change through an Online Social Network","year":2012,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Behavioral Health and Interventions","field":"Psychology","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Social network (sociolinguistics); Data science; World Wide Web; Social media","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":[0.001329781,0.0002667654,0.0002587827,0.0007876828,0.0003625871,0.000781279,0.0004358299,0.0003814081,0.004204024],"category_scores_gemma":[0.006905414,0.000196169,0.0003964342,0.001080432,0.0001714778,0.001072949,0.0004359515,0.0006207405,0.0004809751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003582561,"about_ca_system_score_gemma":0.0004280083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006286267,"about_ca_topic_score_gemma":0.01203221,"domain_scores_codex":[0.999424,0.000334936,0.00001882132,0.00007042549,0.00009958046,0.00005231073],"domain_scores_gemma":[0.9948328,0.004196158,0.0004104117,0.0001554488,0.0001673744,0.0002378381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002016406,0.0008575192,0.8840117,0.00007145534,0.000224923,0.00009504649,0.0006766526,0.001659622,0.0008367063,0.001711979,0.001133013,0.1085198],"study_design_scores_gemma":[0.00002036649,0.0006146375,0.9567316,0.00006637381,0.0002459991,0.0002010656,0.001314105,0.0334545,0.0007988489,0.004514468,0.00201325,0.00002478884],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856512,0.0003219133,0.005674286,0.0004149896,0.00004301845,0.00008646449,0.0007464678,0.00003622129,0.007025483],"genre_scores_gemma":[0.9918035,0.0003440341,0.005397882,0.00003282438,0.00003402918,0.00008437692,0.0003988803,0.000006182511,0.001898168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006286267,"threshold_uncertainty_score":0.01406389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2370929656957784,"score_gpt":0.4399255945460444,"score_spread":0.202832628850266,"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."}}