{"id":"W7154097134","doi":"10.1145/3772318.3809026","title":"10.1145/3772318.3809026","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); Session key; Component (thermodynamics); Attendance","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":[0.002116482,0.003859055,0.002714442,0.003377455,0.002735763,0.005253805,0.003209185,0.005545337,0.9338],"category_scores_gemma":[0.004193245,0.002241054,0.001613036,0.01083549,0.001770566,0.0113323,0.006635563,0.002942196,0.959932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002862615,"about_ca_system_score_gemma":0.001407689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02581766,"about_ca_topic_score_gemma":0.01895925,"domain_scores_codex":[0.9991215,0.00005546456,0.00008070801,0.0002413042,0.0003091294,0.0001919075],"domain_scores_gemma":[0.9979863,0.000435078,0.00009002461,0.0007138011,0.0004541439,0.0003205902],"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":[0.0002737399,0.000186601,0.0005129016,0.0005857328,0.00004955921,0.0002475071,0.0001013123,0.0008600543,0.001190842,0.00684149,0.6839877,0.3051626],"study_design_scores_gemma":[0.00003897411,0.00003211683,0.0008114661,0.0002598578,0.00004530749,0.0001457232,0.00008761452,0.001139559,0.0006148092,0.00189153,0.9948937,0.00003943082],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00265257,0.006492605,0.01752435,0.001913659,0.002855865,0.0005011286,0.0233961,0.02471956,0.9199441],"genre_scores_gemma":[0.004688851,0.002701925,0.002877712,0.0007609628,0.0001672862,0.0002291452,0.01205859,0.002940836,0.9735746],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06620002,"threshold_uncertainty_score":0.09442621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06858470401472,"score_gpt":0.3390686539717134,"score_spread":0.2704839499569934,"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."}}