{"id":"W7118403926","doi":"10.1145/3725843.3786376","title":"10.1145/3725843.3786376","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); 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":[0.0021564,0.003861967,0.002931228,0.003550133,0.002869124,0.00632981,0.003446864,0.006199326,0.9418736],"category_scores_gemma":[0.004185268,0.002323851,0.001613869,0.01170653,0.001765618,0.01277408,0.007365327,0.003181094,0.9678271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002796211,"about_ca_system_score_gemma":0.001349552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01866072,"about_ca_topic_score_gemma":0.01221471,"domain_scores_codex":[0.9990444,0.0000681753,0.000083479,0.0002860125,0.0003306713,0.0001872647],"domain_scores_gemma":[0.9979182,0.0004593203,0.00009994581,0.0007249814,0.000431678,0.0003658377],"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":[0.0002248007,0.0001669004,0.0004330437,0.0006577159,0.00005617007,0.0001958581,0.0001042988,0.0007102354,0.001083038,0.006730327,0.6910065,0.2986311],"study_design_scores_gemma":[0.00004127034,0.00003437772,0.0007118731,0.0002989383,0.00005203416,0.0001454865,0.00007384142,0.000816775,0.0004852839,0.001920929,0.9953789,0.00004043082],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002032938,0.007232711,0.01560411,0.001873776,0.002532989,0.0005448409,0.02072125,0.02234012,0.9271173],"genre_scores_gemma":[0.003876129,0.003186386,0.002816117,0.0009507568,0.0002143732,0.0002835836,0.01333279,0.002990659,0.9723493],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05812639,"threshold_uncertainty_score":0.08291024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05697289396840579,"score_gpt":0.29683814938202,"score_spread":0.2398652554136142,"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."}}