{"id":"W2885753298","doi":"10.5210/fm.v23i8.8046","title":"A self-efficacy informed approach to anonymously locating digital disruptors","year":2018,"lang":"en","type":"article","venue":"First Monday","topic":"Impact of Technology on Adolescents","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Champion; Scale (ratio); Sample (material); Task (project management); The Internet; Ideology; Psychology; Test (biology); Hegemony; Self-efficacy; Computer science; Social psychology; Data science; Engineering; Political science; Politics; World Wide Web; Biology; Geography","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":[0.007195798,0.0004787292,0.0003709325,0.004006337,0.002082323,0.002501967,0.001272217,0.0008157471,0.002624073],"category_scores_gemma":[0.02181938,0.0003270286,0.0004875454,0.001469231,0.004507462,0.002592668,0.002384076,0.00154508,0.0002243107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001667754,"about_ca_system_score_gemma":0.002002262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002776097,"about_ca_topic_score_gemma":0.005341074,"domain_scores_codex":[0.9937977,0.004652743,0.0001687292,0.0004631157,0.000695699,0.0002220917],"domain_scores_gemma":[0.9865816,0.008220646,0.001814116,0.001630307,0.001343523,0.0004097751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003419559,0.004491605,0.3963297,0.0003510621,0.0002116429,0.0005940566,0.1043809,0.007517688,0.002975179,0.2488836,0.002387804,0.2315349],"study_design_scores_gemma":[0.0002111724,0.002011535,0.4595949,0.000605155,0.000309098,0.0008688449,0.1883431,0.08205254,0.008406234,0.2305468,0.02679569,0.0002548929],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8605993,0.0001299678,0.09909581,0.001836083,0.00006458677,0.001086251,0.0001025983,0.00008023456,0.03700512],"genre_scores_gemma":[0.9805016,0.00005314893,0.01743937,0.00008205265,0.00001308624,0.0005801215,0.000020668,0.000004672155,0.001305268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007195798,"threshold_uncertainty_score":0.03805548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01769947960665751,"score_gpt":0.2985962735181386,"score_spread":0.2808967939114811,"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."}}