{"id":"W7117975729","doi":"10.1145/3769694.3787140","title":"10.1145/3769694.3787140","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":[0.001884623,0.00417345,0.002932247,0.003412284,0.003144143,0.005324113,0.003263191,0.006289637,0.9441397],"category_scores_gemma":[0.003509067,0.002315183,0.001507535,0.01059162,0.001719214,0.01321699,0.006772721,0.003270362,0.9649127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002790638,"about_ca_system_score_gemma":0.001298568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02164491,"about_ca_topic_score_gemma":0.01554754,"domain_scores_codex":[0.9991748,0.00005203074,0.00006924843,0.0002497754,0.0002744851,0.0001797273],"domain_scores_gemma":[0.9982876,0.0003750434,0.00008992263,0.000592315,0.0003585757,0.0002964858],"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":[0.0002593067,0.000183293,0.0005446825,0.0006519518,0.00005001756,0.0002099105,0.0001140463,0.0007284287,0.001177433,0.006797359,0.6774997,0.3117838],"study_design_scores_gemma":[0.00003656114,0.0000352198,0.0007387195,0.0002583066,0.00004626908,0.0001572249,0.0000687978,0.000674636,0.0004717858,0.001360091,0.996119,0.00003337245],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002303682,0.007040558,0.01009493,0.001609859,0.002334082,0.0004797735,0.01783388,0.01674354,0.9415597],"genre_scores_gemma":[0.003792549,0.002846902,0.001736353,0.0007470995,0.000187407,0.0002027536,0.009596397,0.00223061,0.9786599],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05586034,"threshold_uncertainty_score":0.079678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004720872191413334,"score_gpt":0.1716814255923484,"score_spread":0.1669605534009351,"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."}}