{"id":"W7117995939","doi":"10.1145/3769694.3787151","title":"10.1145/3769694.3787151","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Information and Cyber Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Session key; Component (thermodynamics); Training (meteorology)","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":[0.001692743,0.003890354,0.002824934,0.003327274,0.003083557,0.00535626,0.003149102,0.005937483,0.943944],"category_scores_gemma":[0.003350694,0.002230804,0.001452492,0.01038547,0.001691796,0.01213269,0.006733687,0.003209455,0.966117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00269862,"about_ca_system_score_gemma":0.001200437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01998376,"about_ca_topic_score_gemma":0.01366946,"domain_scores_codex":[0.9992291,0.00004980016,0.00006607158,0.0002352751,0.0002537734,0.000166019],"domain_scores_gemma":[0.9983901,0.0003535787,0.00008355761,0.0005575347,0.0003538924,0.0002614675],"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":[0.0002435336,0.0001706784,0.0005266579,0.0006145359,0.00004787217,0.0002136223,0.0001072031,0.0007224392,0.00116786,0.007084039,0.6836733,0.3054284],"study_design_scores_gemma":[0.00003405121,0.00003292874,0.0007215688,0.0002611087,0.00004366928,0.0001574856,0.00006579919,0.0006735788,0.0004661429,0.001428343,0.9960828,0.000032533],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002045986,0.006571943,0.009577988,0.00148723,0.002189133,0.0004401773,0.0164987,0.01541792,0.9457708],"genre_scores_gemma":[0.003750057,0.002681274,0.001600038,0.000726186,0.000176172,0.0001943151,0.009254197,0.002245823,0.979372],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05605596,"threshold_uncertainty_score":0.07995701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004704768384604512,"score_gpt":0.1714889205973869,"score_spread":0.1667841522127824,"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."}}