{"id":"W7154003011","doi":"10.1145/3772318.3809014","title":"10.1145/3772318.3809014","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Mathematics, Computing, and Information Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Orchestration; Component (thermodynamics); Key (lock)","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":[0.001993109,0.004242193,0.002842867,0.003399671,0.003126697,0.005496232,0.003231113,0.00544557,0.9516757],"category_scores_gemma":[0.003237923,0.002073441,0.001496664,0.01082097,0.001883187,0.01213026,0.006226256,0.003101862,0.9676877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002966967,"about_ca_system_score_gemma":0.001408125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02101772,"about_ca_topic_score_gemma":0.01614187,"domain_scores_codex":[0.9991316,0.00005588064,0.00007441822,0.0002526645,0.000285349,0.0002000348],"domain_scores_gemma":[0.998348,0.000344294,0.00008281884,0.0005345955,0.0003828993,0.0003074031],"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":[0.0003241319,0.0002030481,0.0005727303,0.0007195153,0.00004857365,0.0002432359,0.0001308055,0.0007921865,0.001489967,0.008231598,0.6675523,0.3196919],"study_design_scores_gemma":[0.00004489416,0.00003805524,0.0008559552,0.0003146992,0.00005299888,0.0001629556,0.00009702262,0.0008688919,0.0005756984,0.001889951,0.9950551,0.00004371409],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00236741,0.005662168,0.01049142,0.001295076,0.0024701,0.0005009598,0.01552098,0.01633196,0.9453599],"genre_scores_gemma":[0.003863223,0.002561014,0.001989846,0.0007406173,0.0001518038,0.0002195579,0.008453459,0.002224634,0.9797959],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04832435,"threshold_uncertainty_score":0.06892872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005948290551255327,"score_gpt":0.1763580838176151,"score_spread":0.1704097932663598,"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."}}