{"id":"W7154003122","doi":"10.1145/3772318.3809011","title":"10.1145/3772318.3809011","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Session (web analytics); State (computer science); 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":[0.001711245,0.002595973,0.002262562,0.002377101,0.002027406,0.004771503,0.002661411,0.005081085,0.9502236],"category_scores_gemma":[0.004217817,0.001613271,0.001134881,0.008329687,0.001467401,0.008941453,0.004672475,0.002460674,0.9696027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002076563,"about_ca_system_score_gemma":0.001039376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01471037,"about_ca_topic_score_gemma":0.01113668,"domain_scores_codex":[0.9993536,0.00005611202,0.0000583947,0.0001803453,0.0002126348,0.000138963],"domain_scores_gemma":[0.9983451,0.0004054224,0.00008302468,0.0005951833,0.0003366238,0.0002346329],"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":[0.0002061096,0.0001540879,0.0005052433,0.0004371967,0.00003345421,0.0001703387,0.00007033222,0.0007461522,0.0008059681,0.007696369,0.6920744,0.2971003],"study_design_scores_gemma":[0.00003808372,0.00002487534,0.0008250729,0.0002423565,0.00003445335,0.0001145552,0.00007254994,0.001105904,0.0004861169,0.002904644,0.9941211,0.00003029845],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001824477,0.003875994,0.01259647,0.001903506,0.002440847,0.0003320655,0.01840462,0.01539117,0.9432308],"genre_scores_gemma":[0.004685502,0.001942022,0.002114236,0.0007183484,0.00016342,0.0001814929,0.008285363,0.002018007,0.9798917],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04977643,"threshold_uncertainty_score":0.07099998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0187675916989178,"score_gpt":0.1519939360172143,"score_spread":0.1332263443182964,"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."}}