{"id":"W7118180669","doi":"10.1145/3731599.3787528","title":"10.1145/3731599.3787528","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); Scale (ratio); Key (lock); 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":[0.001933612,0.003415365,0.002604194,0.003443678,0.002573616,0.005520907,0.003162629,0.005374049,0.9302091],"category_scores_gemma":[0.004209799,0.002043799,0.00143475,0.01108355,0.001628928,0.01185191,0.006530483,0.002914417,0.9602025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00250818,"about_ca_system_score_gemma":0.001276299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01836608,"about_ca_topic_score_gemma":0.0127709,"domain_scores_codex":[0.9991577,0.00006065539,0.00007388384,0.0002438605,0.0003046917,0.0001593003],"domain_scores_gemma":[0.9980704,0.0004322485,0.00008985763,0.0006682823,0.0004162574,0.0003229507],"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":[0.0002032527,0.0001423313,0.0004126242,0.0005885501,0.00004721404,0.0001732151,0.00009161929,0.0006894891,0.0009999351,0.006341453,0.6990986,0.2912117],"study_design_scores_gemma":[0.00003282792,0.00002709018,0.0007085954,0.0002562056,0.00004347795,0.000135939,0.00005913615,0.0007309621,0.0004921604,0.00173541,0.9957444,0.00003376131],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002250603,0.008103073,0.01733978,0.002100104,0.002779429,0.0005746523,0.0285285,0.02501835,0.9133054],"genre_scores_gemma":[0.004402679,0.003442123,0.003053609,0.0008929355,0.0002289855,0.0002744704,0.01631445,0.003273023,0.9681177],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0697909,"threshold_uncertainty_score":0.09954828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05605562054099158,"score_gpt":0.2961961338657344,"score_spread":0.2401405133247428,"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."}}