{"id":"W7118478340","doi":"10.1145/3725843.3786375","title":"10.1145/3725843.3786375","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Component (thermodynamics); Session key; Key (lock)","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":[0.002153229,0.003769758,0.00291905,0.003560272,0.002894584,0.006303976,0.003446579,0.006020898,0.9401737],"category_scores_gemma":[0.004089303,0.002217603,0.001614118,0.01184241,0.001746872,0.01294234,0.007382583,0.003078847,0.9665763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002812847,"about_ca_system_score_gemma":0.001353688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01860566,"about_ca_topic_score_gemma":0.01233056,"domain_scores_codex":[0.9990473,0.00006944765,0.00008132621,0.0002795705,0.0003330602,0.0001891362],"domain_scores_gemma":[0.997977,0.0004486516,0.00009637199,0.0006897443,0.0004298625,0.0003584466],"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":[0.0002305571,0.0001729425,0.0004180436,0.0006852619,0.00005720916,0.0001990934,0.0001054049,0.0007194217,0.001105096,0.00701259,0.6811118,0.3081825],"study_design_scores_gemma":[0.00004101583,0.00003527052,0.0007055394,0.0003110626,0.00005326158,0.0001474291,0.00007484459,0.00083035,0.0004867286,0.001927487,0.995346,0.00004092744],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002078173,0.007312971,0.01561762,0.001801923,0.002498492,0.0005498261,0.0188389,0.02145168,0.9298505],"genre_scores_gemma":[0.003802308,0.003220591,0.002868989,0.0008929368,0.0002125655,0.0002822572,0.0123126,0.002796746,0.973611],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05982625,"threshold_uncertainty_score":0.08533484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05659379092223754,"score_gpt":0.2965291024942385,"score_spread":0.2399353115720009,"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."}}