{"id":"W7119044683","doi":"10.1145/3725843.3786383","title":"10.1145/3725843.3786383","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); Component (thermodynamics); Session key; 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":[0.002154318,0.003730194,0.00284941,0.003428646,0.002848559,0.006150179,0.003341822,0.006111823,0.9490893],"category_scores_gemma":[0.004085417,0.002301326,0.001557402,0.01108198,0.001777905,0.01258182,0.007136894,0.003046947,0.9709454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002720941,"about_ca_system_score_gemma":0.001300595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01753364,"about_ca_topic_score_gemma":0.01157151,"domain_scores_codex":[0.999073,0.00006365955,0.0000806497,0.0002853203,0.0003097022,0.0001876723],"domain_scores_gemma":[0.9979843,0.000448855,0.00009730398,0.0006777967,0.0004268696,0.0003648362],"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":[0.0002360124,0.00017777,0.0004663648,0.0006650619,0.00005573361,0.0001951156,0.0001085385,0.0006841104,0.001139377,0.006820375,0.687053,0.3023986],"study_design_scores_gemma":[0.00004478432,0.00003688016,0.0007571126,0.0003133089,0.00005370015,0.0001506546,0.00008113439,0.0008113068,0.0004966359,0.001871487,0.9953412,0.00004178325],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002098718,0.006305472,0.01415036,0.001835128,0.002411287,0.0005396568,0.01816235,0.02072713,0.9337699],"genre_scores_gemma":[0.003722891,0.002743238,0.002628116,0.0008967652,0.0001968198,0.0002695547,0.01094201,0.002561194,0.9760393],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05091065,"threshold_uncertainty_score":0.07261789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05655252333589643,"score_gpt":0.2965000551444613,"score_spread":0.2399475318085649,"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."}}