{"id":"W26157273","doi":"10.1589/jpts.27.1609","title":"Expert querying and redirection with rule responder","year":2007,"lang":"en","type":"article","venue":"Journal of Physical Therapy Science","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research and Productivity Council","funders":"","keywords":"Computer science; Data mining","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001038115,0.00005949886,0.00009316783,0.0001233661,0.0001936096,0.0001687578,0.0004986338,0.00001050636,7.683018e-7],"category_scores_gemma":[0.00002427386,0.00003695567,0.00002317594,0.0007472233,0.0002159977,0.00116688,0.000047282,0.0001083456,0.000001142686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002851741,"about_ca_system_score_gemma":0.00009073268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006735143,"about_ca_topic_score_gemma":4.110957e-7,"domain_scores_codex":[0.9991125,0.00001285017,0.0001278239,0.0001620691,0.0004250818,0.0001596719],"domain_scores_gemma":[0.9993095,0.0001026398,0.0001324306,0.000177617,0.0001627884,0.0001149898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003133247,0.000101081,0.00009848837,5.650902e-7,0.000005361539,0.000007572139,0.001743922,0.00001270085,0.2771501,0.007259801,0.00007501102,0.7135141],"study_design_scores_gemma":[0.002804758,0.004217215,0.1141376,0.0002285187,0.00001035729,0.001168488,0.0011601,0.09083785,0.7191408,0.02340172,0.04204261,0.0008499774],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.613152,0.0001093759,0.3857238,0.0005307567,0.00008428139,0.00003281136,2.189013e-7,0.00001588076,0.0003508231],"genre_scores_gemma":[0.8977518,0.00004243117,0.1017573,0.000191471,0.0002254563,8.525738e-7,3.934065e-8,0.000003099192,0.00002752259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7126641,"threshold_uncertainty_score":0.1627336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01926696539515355,"score_gpt":0.3098640221582141,"score_spread":0.2905970567630605,"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."}}