{"id":"W7153972439","doi":"10.1145/3772318.3808904","title":"10.1145/3772318.3808904","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); Component (thermodynamics); Affect (linguistics); Data collection","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":[0.001677378,0.00263327,0.00230704,0.002342051,0.002045076,0.004876274,0.002722309,0.004932861,0.9522341],"category_scores_gemma":[0.003921728,0.001612088,0.001115086,0.008682566,0.001401382,0.009064828,0.004598032,0.002438629,0.9719311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002101001,"about_ca_system_score_gemma":0.001054669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01423819,"about_ca_topic_score_gemma":0.01031868,"domain_scores_codex":[0.9993305,0.00005706058,0.00005979282,0.0001987775,0.0002123012,0.0001415711],"domain_scores_gemma":[0.9983675,0.0003806814,0.00008285048,0.0005847921,0.0003489406,0.0002352352],"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":[0.0002023501,0.0001510314,0.0004954396,0.000426893,0.0000340366,0.0001603008,0.00006799692,0.0007023927,0.0007998178,0.007044729,0.7090321,0.280883],"study_design_scores_gemma":[0.00004047186,0.00002571442,0.0007973704,0.0002346887,0.00003505655,0.0001121114,0.00006933503,0.001060641,0.000470029,0.002579902,0.9945436,0.00003095648],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001858207,0.003735183,0.01164279,0.001827814,0.002396225,0.0003287497,0.01946105,0.0153563,0.9433936],"genre_scores_gemma":[0.004544698,0.001829289,0.002003677,0.0007126029,0.0001617617,0.0001767042,0.00887573,0.001936813,0.9797587],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04776591,"threshold_uncertainty_score":0.06813228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.017562424362733,"score_gpt":0.1525392032901717,"score_spread":0.1349767789274387,"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."}}