{"id":"W7154127118","doi":"10.1145/3772318.3808897","title":"10.1145/3772318.3808897","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); Component (thermodynamics); Session key; Training (meteorology)","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":[0.001791944,0.003408217,0.002441508,0.003073453,0.002423245,0.004935085,0.002874703,0.004986848,0.9356581],"category_scores_gemma":[0.003733887,0.001862226,0.001334684,0.0101527,0.001474069,0.00985729,0.006037418,0.00255225,0.960294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002500165,"about_ca_system_score_gemma":0.001251344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02037423,"about_ca_topic_score_gemma":0.01560821,"domain_scores_codex":[0.9992042,0.0000519151,0.00007157079,0.000224388,0.0002830467,0.0001649446],"domain_scores_gemma":[0.9982809,0.0003649033,0.00008027211,0.0005861168,0.0004196418,0.0002681385],"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":[0.0002259392,0.0001517899,0.0004116043,0.000488262,0.00004086733,0.000204087,0.00008136373,0.0007022332,0.001062068,0.006056031,0.6971992,0.2933765],"study_design_scores_gemma":[0.00003464023,0.00002632095,0.0006907571,0.0002252474,0.0000374929,0.0001266674,0.00006965334,0.001004559,0.0005138547,0.001607789,0.99563,0.00003303834],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002320689,0.005560017,0.0160608,0.001744901,0.002473919,0.0004515404,0.02013262,0.021753,0.9295024],"genre_scores_gemma":[0.00411238,0.00232355,0.00268208,0.0007198028,0.0001540558,0.0002023956,0.01112698,0.002496521,0.9761822],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0643419,"threshold_uncertainty_score":0.09177583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0691705294506317,"score_gpt":0.3397221557625086,"score_spread":0.2705516263118769,"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."}}