{"id":"W2613285894","doi":"10.1007/s10608-017-9857-6","title":"Using Motivational Interviewing to Manage Process Markers of Ambivalence and Resistance in Cognitive Behavioral Therapy","year":2017,"lang":"en","type":"article","venue":"Cognitive Therapy and Research","topic":"Psychotherapy Techniques and Applications","field":"Psychology","cited_by":62,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Ambivalence; Motivational interviewing; Resistance (ecology); Context (archaeology); Psychology; Psychotherapist; Alliance; Cognitive behavioral therapy; Cognition; Directive; Cognitive therapy; Clinical psychology; Social psychology; Psychiatry; Psychological intervention","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":[0.003800894,0.0002297016,0.0001758435,0.000626748,0.0005453744,0.0007355402,0.0002794884,0.0003023787,0.0005617362],"category_scores_gemma":[0.01438425,0.0001597518,0.0001718038,0.0003096017,0.0005368753,0.0007509423,0.0008407892,0.001207631,0.00006287403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004039922,"about_ca_system_score_gemma":0.0009845162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005168515,"about_ca_topic_score_gemma":0.001295363,"domain_scores_codex":[0.9977729,0.001625346,0.00009131155,0.0001012111,0.0002883211,0.0001208806],"domain_scores_gemma":[0.9941295,0.004781554,0.0004616956,0.0001812532,0.0002572879,0.0001887224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001808861,0.005261541,0.04755544,0.0004803312,0.0000829916,0.0001768575,0.0536516,0.00191687,0.02073312,0.009478342,0.001617853,0.8572361],"study_design_scores_gemma":[0.002544047,0.01925034,0.5987626,0.001719118,0.0009275974,0.002159059,0.08556569,0.09381035,0.08386706,0.07149096,0.03930072,0.0006025573],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9659471,0.0001873655,0.02853576,0.0005355612,0.00005182233,0.0006024234,0.00002817932,0.0000711812,0.004040599],"genre_scores_gemma":[0.9766218,0.0001927151,0.02176825,0.0001167738,0.00001449069,0.000758408,0.00002492154,0.00001058827,0.0004919865],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.003800894,"threshold_uncertainty_score":0.02010131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4093324500531528,"score_gpt":0.5584859062784187,"score_spread":0.1491534562252658,"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."}}