{"id":"W7154163289","doi":"10.1145/3772318.3809102","title":"10.1145/3772318.3809102","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); Attendance; 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":[0.001639124,0.002457026,0.002196818,0.002287575,0.002080869,0.004913766,0.002552896,0.004751029,0.9503994],"category_scores_gemma":[0.0040526,0.001555126,0.001091301,0.008557752,0.001375219,0.009046215,0.004522177,0.002377997,0.9704113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002083427,"about_ca_system_score_gemma":0.001047712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01401393,"about_ca_topic_score_gemma":0.01039248,"domain_scores_codex":[0.9993502,0.00005528754,0.00005771595,0.0001863227,0.0002151666,0.0001353582],"domain_scores_gemma":[0.9983918,0.0003719305,0.00008033112,0.0005681342,0.000354426,0.0002333355],"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":[0.0001884061,0.0001480615,0.0004699444,0.0004074336,0.00003206456,0.0001669346,0.00006664333,0.0006795811,0.0007773713,0.007589989,0.7064927,0.2829809],"study_design_scores_gemma":[0.00003645466,0.00002404376,0.0007731259,0.0002263631,0.00003257694,0.0001111637,0.00006585048,0.001033402,0.0004577145,0.002559,0.9946514,0.00002906838],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001738494,0.003403943,0.0113565,0.001777767,0.002248017,0.0003128884,0.01707327,0.01430426,0.9477848],"genre_scores_gemma":[0.004359922,0.001742897,0.001955238,0.000678942,0.0001616775,0.0001632964,0.007951242,0.001853884,0.9811329],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0496006,"threshold_uncertainty_score":0.07074916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01791545713339064,"score_gpt":0.1523251591438729,"score_spread":0.1344097020104823,"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."}}