{"id":"W7117987749","doi":"10.1145/3733822.3787200","title":"10.1145/3733822.3787200","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); Focus (optics)","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":[0.0020114,0.003462149,0.002735101,0.003314597,0.002472182,0.005577545,0.003112689,0.005960767,0.947005],"category_scores_gemma":[0.003815114,0.002199859,0.001490425,0.01122019,0.00157873,0.01145965,0.006098001,0.002966121,0.9687345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002421394,"about_ca_system_score_gemma":0.00115117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01684404,"about_ca_topic_score_gemma":0.01165337,"domain_scores_codex":[0.9992053,0.00005918683,0.00006618277,0.0002470322,0.0002619397,0.0001603733],"domain_scores_gemma":[0.9980674,0.0004283741,0.00009090002,0.0006560856,0.0003966461,0.0003605727],"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":[0.00019789,0.0001580111,0.0004101534,0.0005663114,0.00004566587,0.0001616339,0.00008142577,0.0006459742,0.001031853,0.005735609,0.6994323,0.2915331],"study_design_scores_gemma":[0.00003724944,0.00002875831,0.0007207862,0.0002401384,0.00004395675,0.0001285047,0.00005573356,0.0007196491,0.0004596962,0.001485572,0.9960458,0.0000343562],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001682084,0.005408158,0.01228681,0.001508234,0.001909069,0.0005156134,0.02037412,0.0203549,0.9359609],"genre_scores_gemma":[0.003146467,0.00242353,0.002515797,0.0008098717,0.0001912018,0.0002447336,0.01218004,0.002623847,0.9758645],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05299503,"threshold_uncertainty_score":0.07559097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05626706869310946,"score_gpt":0.2963870541326855,"score_spread":0.240119985439576,"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."}}