{"id":"W7118001054","doi":"10.1145/3769694.3787148","title":"10.1145/3769694.3787148","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":[0.001727645,0.003962724,0.002808601,0.003261108,0.003030623,0.005340097,0.003145441,0.005957476,0.9479536],"category_scores_gemma":[0.003429112,0.002148519,0.001438185,0.01022219,0.001657978,0.01239641,0.006617459,0.003124236,0.9678525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00262481,"about_ca_system_score_gemma":0.001207032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01909043,"about_ca_topic_score_gemma":0.01390183,"domain_scores_codex":[0.9991952,0.00005184922,0.0000673867,0.0002504116,0.0002662828,0.0001687972],"domain_scores_gemma":[0.9983599,0.0003583205,0.00008449076,0.0005599567,0.0003592411,0.0002781684],"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":[0.0002419508,0.0001698809,0.0004996525,0.0006053706,0.0000458893,0.0002003103,0.000101448,0.0006790357,0.001119233,0.006491688,0.6809064,0.3089392],"study_design_scores_gemma":[0.00003450786,0.00003276252,0.0006949274,0.0002556544,0.0000434925,0.0001556594,0.0000650422,0.000643074,0.0004437661,0.00136675,0.9962316,0.00003266079],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002078295,0.006527247,0.009840569,0.001515597,0.002249448,0.0004659375,0.016868,0.015941,0.944514],"genre_scores_gemma":[0.003609705,0.002685893,0.001702658,0.0007305656,0.0001808911,0.000201445,0.009267016,0.002184662,0.9794373],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05204642,"threshold_uncertainty_score":0.07423782,"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."}}