{"id":"W4362497045","doi":"10.1109/iconat57137.2023.10080277","title":"Open Dots: Securely Connecting Like-Minded People Using Machine Learning","year":2023,"lang":"en","type":"article","venue":"","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Favourite; Computer science; Active listening; Internet privacy; Social media; World Wide Web; Artificial intelligence; Sociology; Political science","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":[0.004837876,0.0009502247,0.0007630745,0.001297873,0.002283814,0.003045177,0.002519112,0.002271332,0.02854162],"category_scores_gemma":[0.01653609,0.0006194179,0.0009078303,0.000910924,0.001622139,0.008596191,0.01337579,0.001800586,0.01764981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005119762,"about_ca_system_score_gemma":0.0008236262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001161419,"about_ca_topic_score_gemma":0.001732714,"domain_scores_codex":[0.9950186,0.002225672,0.0002318273,0.001064264,0.001016944,0.0004427526],"domain_scores_gemma":[0.9939117,0.001792074,0.0004480276,0.002216987,0.0007123843,0.000918763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001780486,0.001244978,0.01918086,0.0007625361,0.0002121159,0.001388315,0.009106966,0.007280963,0.01767442,0.03629972,0.1202413,0.7848275],"study_design_scores_gemma":[0.0003284614,0.001520012,0.01131783,0.0006693095,0.0002106542,0.001689599,0.009970624,0.1912641,0.02696168,0.1787455,0.576913,0.0004092593],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07462348,0.0007153432,0.8298132,0.003663689,0.001282426,0.001490767,0.002307138,0.04274203,0.04336187],"genre_scores_gemma":[0.5151919,0.0007275956,0.4178533,0.002886792,0.0004049149,0.002276234,0.004932573,0.003131724,0.05259499],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02854162,"threshold_uncertainty_score":0.09548122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04483143771254897,"score_gpt":0.3267547655107418,"score_spread":0.2819233277981928,"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."}}