{"id":"W4353057063","doi":"10.1002/cdq.12318","title":"Effectiveness of informational interviewing for facilitating networking self‐efficacy in university students","year":2023,"lang":"en","type":"article","venue":"The Career Development Quarterly","topic":"Higher Education Research Studies","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"","keywords":"Interview; Self-efficacy; Psychology; Boosting (machine learning); Motivational interviewing; Medical education; Applied psychology; Social psychology; Computer science; Medicine; Sociology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003165203,0.0000640237,0.0001191659,0.0001394998,0.0004288836,0.00003487069,0.0003489353,0.000025221,0.000006061664],"category_scores_gemma":[0.00009606596,0.00005439474,0.00003598244,0.0006298706,0.00007417558,0.0001507062,0.00004388429,0.00005384237,0.00001669719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003777576,"about_ca_system_score_gemma":0.0003217699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002324614,"about_ca_topic_score_gemma":0.0005100054,"domain_scores_codex":[0.9986905,0.0003856847,0.0001798698,0.00009887938,0.0003908488,0.0002542527],"domain_scores_gemma":[0.9979786,0.001681996,0.00005728819,0.00007131595,0.0001776232,0.00003314336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00002914628,0.00007440901,0.05568741,0.0001503095,0.00009743912,6.3399e-7,0.8949875,0.000117864,0.00002081514,0.000828027,0.0001763792,0.04783008],"study_design_scores_gemma":[0.000733621,0.00006990552,0.788981,0.0002124529,0.000006123329,5.131832e-8,0.1753667,0.00007723404,0.00002615488,0.0001156589,0.03429599,0.0001151937],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981589,0.00002233629,0.000199304,0.0002103118,0.0002326651,0.0005986497,0.000003438628,0.00005162389,0.0005227819],"genre_scores_gemma":[0.9993608,0.00001147739,0.0002670329,0.000005863541,0.00003200105,0.00003986025,0.00001283689,0.000003377998,0.0002667337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7332935,"threshold_uncertainty_score":0.3298669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05867174854957449,"score_gpt":0.3670884673348944,"score_spread":0.3084167187853198,"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."}}