{"id":"W7116828495","doi":"10.1145/3736130.3786141","title":"10.1145/3736130.3786141","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Access Control and Trust","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Network analysis; Social network analysis; Intelligence analysis; Conversation analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001812203,0.002486428,0.001877929,0.002735493,0.002518773,0.004896794,0.002497375,0.00471808,0.9288032],"category_scores_gemma":[0.00425687,0.001477207,0.001169456,0.009158742,0.001395801,0.01077742,0.005890267,0.002202361,0.9559236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002330147,"about_ca_system_score_gemma":0.001138382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0165308,"about_ca_topic_score_gemma":0.01259961,"domain_scores_codex":[0.9993156,0.00006239116,0.00005588293,0.0001871966,0.0002561473,0.0001227561],"domain_scores_gemma":[0.9982619,0.0004688699,0.00008062719,0.0005974207,0.0003347221,0.0002564146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001537304,0.0001035724,0.0005137954,0.0005654559,0.0000354459,0.0001667951,0.0001187484,0.0005523532,0.0007257492,0.01021195,0.6494974,0.3373548],"study_design_scores_gemma":[0.00002188626,0.00001965366,0.0007312763,0.000234842,0.0000311203,0.0001316739,0.00006620908,0.0004730734,0.0003306475,0.002093079,0.9958423,0.00002423379],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001819786,0.006060039,0.01007936,0.001951201,0.001901316,0.0002746447,0.01704222,0.01085144,0.95002],"genre_scores_gemma":[0.005580867,0.003334065,0.002528518,0.0006881462,0.0002143475,0.0001784805,0.00965835,0.001969928,0.9758473],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07119679,"threshold_uncertainty_score":0.1015535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007048583755049919,"score_gpt":0.2203515114926028,"score_spread":0.2133029277375529,"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."}}