{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006087367,0.0003292412,0.0003052505,0.0004913546,0.0006520172,0.000679816,0.0007215546,0.0004080027,0.002652759],"category_scores_gemma":[0.02707369,0.0002071852,0.0003113939,0.0002881492,0.0003640222,0.0004526285,0.0006575255,0.0006141274,0.0002806722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002225076,"about_ca_system_score_gemma":0.0007682886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002330694,"about_ca_topic_score_gemma":0.0005884703,"domain_scores_codex":[0.9970468,0.002223243,0.000150919,0.0001289981,0.0002604274,0.0001895837],"domain_scores_gemma":[0.964907,0.029333,0.002102893,0.001110007,0.0009401161,0.001607043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.005321098,0.02847904,0.09078292,0.001819979,0.0001578069,0.0002336371,0.01647339,0.001267085,0.02682792,0.0006292926,0.001891993,0.8261159],"study_design_scores_gemma":[0.001851522,0.09385496,0.7306734,0.002101844,0.001313133,0.0009910821,0.03039674,0.01565571,0.1052807,0.002073287,0.01548849,0.0003191949],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939883,0.0001448591,0.002374198,0.0001639938,0.00002944765,0.0002532362,0.00003165309,0.000100961,0.002913301],"genre_scores_gemma":[0.9908509,0.0002104897,0.008111994,0.00006516713,0.00002558649,0.000347524,0.00003017086,0.000006201055,0.0003520326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006087367,"threshold_uncertainty_score":0.03219342,"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."}}