{"id":"W32585693","doi":"10.1093/jac/dkaa211","title":"Visualizing Reciprocal and Non-Reciprocal Relationships in an Online Community","year":2009,"lang":"en","type":"article","venue":"","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"National Health and Medical Research Council","keywords":"Reciprocal; Identity (music); Online community; Visualization; Social psychology; Computer science; Psychology; World Wide Web; Artificial intelligence","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":[0.001099214,0.0003932798,0.0003562876,0.003761831,0.0006360227,0.00125118,0.0005971779,0.0005995696,0.003895931],"category_scores_gemma":[0.006616558,0.0001979966,0.0003362986,0.003212261,0.0003943442,0.002631157,0.001498744,0.0005355809,0.0004637524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000528692,"about_ca_system_score_gemma":0.000486027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003872828,"about_ca_topic_score_gemma":0.005388545,"domain_scores_codex":[0.9991872,0.0003280016,0.00004820973,0.0001870127,0.0001753618,0.00007424463],"domain_scores_gemma":[0.9930878,0.00422299,0.0009298307,0.0004977276,0.0006565201,0.0006050962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003247242,0.0009397312,0.1483029,0.001783766,0.0007773865,0.002782359,0.01123838,0.1147182,0.1012835,0.07082092,0.01881863,0.525287],"study_design_scores_gemma":[0.0001357007,0.0003332389,0.06829847,0.0001309042,0.0001849661,0.001260818,0.0036778,0.8189482,0.01071501,0.07993785,0.01626197,0.0001150856],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8128867,0.0007611369,0.1731354,0.0009355673,0.0001047034,0.000146469,0.003057574,0.002831869,0.006140722],"genre_scores_gemma":[0.9216495,0.0002002782,0.07512569,0.00004694771,0.00003548199,0.00008703412,0.001297434,0.00008663578,0.001470936],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003895931,"threshold_uncertainty_score":0.01303321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0875218989838368,"score_gpt":0.351792023810612,"score_spread":0.2642701248267753,"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."}}