{"id":"W2494488773","doi":"10.5539/ijps.v8n3p134","title":"Conversational Errors and Common Ground Activities in Psychotherapy—Insights from Conversation Analysis","year":2016,"lang":"en","type":"article","venue":"International Journal of Psychological Studies","topic":"Language, Discourse, Communication Strategies","field":"Arts and Humanities","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Conversation; Common ground; Perspective (graphical); Empathy; Psychology; Psychotherapist; Conversation analysis; Session (web analytics); Transcription (linguistics); Social psychology; Linguistics; Communication; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.01583309,0.0009251217,0.0008105946,0.005545792,0.007984311,0.01461525,0.002314637,0.003305838,0.001459933],"category_scores_gemma":[0.03817749,0.0007913301,0.0005984973,0.003860722,0.02208361,0.01918208,0.01146357,0.004514534,0.0003276918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004767786,"about_ca_system_score_gemma":0.003020929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005146686,"about_ca_topic_score_gemma":0.003175874,"domain_scores_codex":[0.9644347,0.02954184,0.0008863917,0.001364513,0.002771068,0.001001416],"domain_scores_gemma":[0.9428298,0.04996819,0.003172637,0.001545909,0.001588985,0.0008943468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004640351,0.00002362191,0.001766742,0.0001854488,0.00001856605,0.0006475238,0.9569833,0.0002439767,0.0005439789,0.02535547,0.0006170632,0.01356793],"study_design_scores_gemma":[0.00001430725,0.00004579856,0.004355795,0.0006610987,0.00002942939,0.001527742,0.8961128,0.003261702,0.001188285,0.05744201,0.03529686,0.00006416271],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7571542,0.01368026,0.1359616,0.02319197,0.0004507863,0.0004189538,0.0003470819,0.0004034546,0.06839177],"genre_scores_gemma":[0.9875815,0.001555834,0.008490577,0.0003404062,0.00007577625,0.0001466251,0.00008166523,0.0001329011,0.001594803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01583309,"threshold_uncertainty_score":0.08373439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09972335168043017,"score_gpt":0.3901511664510243,"score_spread":0.2904278147705941,"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."}}