{"id":"W7118182663","doi":"10.1145/3731599.3787533","title":"10.1145/3731599.3787533","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); User interface; Component (thermodynamics); 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":[0.001873195,0.003216905,0.002488848,0.003332118,0.002569684,0.005398862,0.002994154,0.005043744,0.9377975],"category_scores_gemma":[0.003904636,0.001893018,0.001392308,0.01092068,0.001569987,0.01102629,0.006323859,0.002745374,0.963844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002416454,"about_ca_system_score_gemma":0.001237261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01685379,"about_ca_topic_score_gemma":0.01190839,"domain_scores_codex":[0.9991999,0.0000574109,0.00006825657,0.0002363233,0.000285448,0.0001527129],"domain_scores_gemma":[0.9981747,0.0004034053,0.00008361587,0.0006172542,0.0004072235,0.0003138205],"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":[0.0002032878,0.0001439568,0.0004288642,0.0005520869,0.00004491794,0.00018087,0.00009163714,0.0006591447,0.00105975,0.006343114,0.6913495,0.298943],"study_design_scores_gemma":[0.00003237313,0.00002724957,0.0007141275,0.0002521199,0.00004244319,0.0001388511,0.00005987373,0.0007184636,0.0004932484,0.001660619,0.9958275,0.00003316821],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002160341,0.006546873,0.01518732,0.001869662,0.002500683,0.0005270864,0.02251878,0.02095328,0.927736],"genre_scores_gemma":[0.004075002,0.002982729,0.00268968,0.000801802,0.0002088946,0.000243263,0.01291449,0.002677089,0.9734072],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06220251,"threshold_uncertainty_score":0.08872432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05644024061819416,"score_gpt":0.2965107627414934,"score_spread":0.2400705221232992,"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."}}