{"id":"W7153976418","doi":"10.1145/3772318.3808974","title":"10.1145/3772318.3808974","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Inclusion (mineral); Component (thermodynamics); Session key","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":[0.001992438,0.003566165,0.002541927,0.003232735,0.002664399,0.005095248,0.003021043,0.005063428,0.9373629],"category_scores_gemma":[0.003935486,0.002037679,0.001457253,0.01043416,0.001627936,0.01074225,0.006539612,0.002655592,0.9622653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002741204,"about_ca_system_score_gemma":0.001350096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02273318,"about_ca_topic_score_gemma":0.01761697,"domain_scores_codex":[0.999136,0.00005535144,0.00007650025,0.0002445383,0.0002983258,0.0001892777],"domain_scores_gemma":[0.9981111,0.0003910692,0.00008548391,0.0006607226,0.0004417545,0.0003098047],"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":[0.000253762,0.0001712492,0.0004868781,0.0005283823,0.00004540002,0.0002319284,0.0000987836,0.0007876504,0.001173853,0.006772051,0.6872461,0.3022039],"study_design_scores_gemma":[0.00003625333,0.00002941265,0.0007465546,0.0002434724,0.00004204694,0.0001428326,0.00008438964,0.001056145,0.000568939,0.001783084,0.9952298,0.00003710774],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002378479,0.005453573,0.01576727,0.001746683,0.002543492,0.0004399694,0.01918991,0.02159659,0.9308839],"genre_scores_gemma":[0.004152671,0.002291432,0.00261684,0.0007074691,0.0001450297,0.0002031079,0.01047555,0.00254903,0.9768589],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06263709,"threshold_uncertainty_score":0.08934414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06748836455616311,"score_gpt":0.3382921383582098,"score_spread":0.2708037738020467,"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."}}