{"id":"W1506561248","doi":"10.1002/ab.21560","title":"Modeling the anti‐cyberbullying preferences of university students: Adaptive choice‐based conjoint analysis","year":2014,"lang":"en","type":"article","venue":"Aggressive Behavior","topic":"Bullying, Victimization, and Aggression","field":"Psychology","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hamilton Health Sciences; University of Ottawa; McMaster University","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research","keywords":"Psychology; The Internet; Conjoint analysis; Human factors and ergonomics; Applied psychology; Social psychology; Medical education; Poison control; Preference; Medicine; Computer science; Medical emergency; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01031107,0.0008747327,0.0008089365,0.00153849,0.0007216801,0.001850733,0.001133474,0.001115721,0.002963712],"category_scores_gemma":[0.01714284,0.0006986693,0.001847674,0.00139815,0.0009328292,0.0007684192,0.001016485,0.001515812,0.0002485297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001863756,"about_ca_system_score_gemma":0.001330082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00927114,"about_ca_topic_score_gemma":0.006331981,"domain_scores_codex":[0.9938185,0.005138747,0.0001825145,0.0002915194,0.0002431121,0.0003255405],"domain_scores_gemma":[0.978272,0.01872804,0.0009387152,0.0007464402,0.0008021564,0.0005127277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005027179,0.007647709,0.3355118,0.0002874043,0.001673311,0.0003844772,0.003570576,0.5757757,0.00401054,0.004287377,0.0005030855,0.06132089],"study_design_scores_gemma":[0.00009831147,0.001573391,0.02279499,0.00001259822,0.0001082005,0.00004713757,0.001117358,0.9716343,0.0006850367,0.001712001,0.0001634157,0.00005325761],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9859205,0.00002981411,0.01343441,0.00004734009,0.000007290038,0.0002117873,0.0001065984,0.00001469343,0.0002276044],"genre_scores_gemma":[0.9858809,0.00002860795,0.01335636,0.00001687737,0.000003060596,0.0003033615,0.0001153323,0.000002469922,0.0002931541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01031107,"threshold_uncertainty_score":0.0545308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04459678619987874,"score_gpt":0.3209846156422952,"score_spread":0.2763878294424165,"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."}}