{"id":"W3209172003","doi":"","title":"Personal Network Analysis","year":2021,"lang":"en","type":"article","venue":"TRAILS: Teaching Resources and Innovations Library for Sociology","topic":"Innovative Teaching and Learning Methods","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Worksheet; Homophily; Personal network; Disk formatting; Social network (sociolinguistics); Interpersonal ties; Computer science; Six degrees of separation; Social network analysis; Diversity (politics); Survey data collection; Psychology; Social psychology; Mathematics education; World Wide Web; Statistics; Sociology; Mathematics; Computer network","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":[0.002059534,0.0005589518,0.0004747839,0.007300717,0.001039826,0.001819025,0.0008654011,0.0004053021,0.112644],"category_scores_gemma":[0.0143469,0.000234101,0.0006501411,0.007364661,0.0002104456,0.001655559,0.001408681,0.0007993052,0.02522288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001395361,"about_ca_system_score_gemma":0.00155466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006789941,"about_ca_topic_score_gemma":0.007488884,"domain_scores_codex":[0.9974864,0.0005641112,0.0001769808,0.0005820863,0.0009826497,0.000207818],"domain_scores_gemma":[0.9916843,0.002294726,0.0006977376,0.001294709,0.003629082,0.0003994656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001786548,0.0002966926,0.06197106,0.0007016688,0.0001630157,0.0001628555,0.002721322,0.004624714,0.0008633596,0.03667276,0.3933463,0.4982976],"study_design_scores_gemma":[0.00004862849,0.0002050636,0.1001085,0.0003801058,0.0001151772,0.0004600614,0.005341197,0.02989263,0.002996819,0.02824977,0.8321224,0.00007971752],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.1111751,0.000746141,0.1737103,0.002204816,0.0006628905,0.006949123,0.2844281,0.006749155,0.4133744],"genre_scores_gemma":[0.3663474,0.001210765,0.1631427,0.0006392304,0.0002620673,0.009920773,0.1733387,0.001332382,0.2838061],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.112644,"threshold_uncertainty_score":0.3768316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04346342684789549,"score_gpt":0.354540002114463,"score_spread":0.3110765752665675,"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."}}