{"id":"W7118194647","doi":"10.1145/3731599.3787527","title":"10.1145/3731599.3787527","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); Key (lock); Session key; Component (thermodynamics)","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":[0.001859018,0.003329223,0.002561308,0.003446738,0.002549952,0.005482942,0.003155794,0.005237465,0.9298009],"category_scores_gemma":[0.004138908,0.001967039,0.001410062,0.01110927,0.00158673,0.01131071,0.006412808,0.002858939,0.9601718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00249133,"about_ca_system_score_gemma":0.001275997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0176235,"about_ca_topic_score_gemma":0.01230178,"domain_scores_codex":[0.9991664,0.00006045806,0.00007243408,0.0002410206,0.0003020402,0.000157715],"domain_scores_gemma":[0.9980956,0.0004210896,0.00008728237,0.0006682927,0.0004168212,0.0003108772],"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":[0.0001961273,0.0001363339,0.000409625,0.0005627461,0.00004597142,0.0001728974,0.00008841557,0.0006738555,0.0009844815,0.006486722,0.6960386,0.2942041],"study_design_scores_gemma":[0.00003137103,0.000025854,0.0006908771,0.0002482553,0.00004231925,0.000135912,0.00005636326,0.0007154472,0.0004952615,0.001810061,0.995716,0.0000322878],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002158117,0.00749918,0.01714254,0.002020216,0.002682558,0.0005426878,0.02767681,0.02362606,0.9166518],"genre_scores_gemma":[0.004450138,0.003307622,0.003012078,0.0008611907,0.0002279773,0.0002681368,0.0166261,0.00321423,0.9680325],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07019907,"threshold_uncertainty_score":0.1001304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05604407908362929,"score_gpt":0.2961596390230679,"score_spread":0.2401155599394386,"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."}}