{"id":"W2119683738","doi":"10.4248/ijos.09032","title":"The Effect of Funding Cuts on the Utilization of an Oral Pathology Diagnostic Service","year":2009,"lang":"en","type":"article","venue":"International Journal of Oral Science","topic":"Dental Education, Practice, Research","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Service (business); Oral and maxillofacial pathology; Biopsy; Pathology; Dentistry; Business; Marketing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01202395,0.0003513353,0.0004742467,0.002457783,0.001584271,0.00424478,0.001543885,0.002703882,0.004879354],"category_scores_gemma":[0.0739234,0.0004520596,0.0005257034,0.002851083,0.001884582,0.001621576,0.002394095,0.002212542,0.0006876427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01167375,"about_ca_system_score_gemma":0.01118658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08473872,"about_ca_topic_score_gemma":0.06936154,"domain_scores_codex":[0.9836352,0.004762172,0.001149118,0.0006904951,0.00377271,0.005990353],"domain_scores_gemma":[0.9044312,0.02826443,0.03841541,0.00136231,0.0159044,0.01162238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003884941,0.0008673147,0.8886548,0.0005016933,0.0001624088,0.001452292,0.002171989,0.002169801,0.001530706,0.002630054,0.01232831,0.08364575],"study_design_scores_gemma":[0.00004641421,0.0005256453,0.9919497,0.0001296031,0.00003086691,0.0003796177,0.001760604,0.0005020174,0.0002813531,0.0002011173,0.004171954,0.00002109076],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9804025,0.001408229,0.0002151483,0.01075952,0.0001769586,0.00007162174,0.001280684,0.00002431118,0.005660934],"genre_scores_gemma":[0.9955035,0.0005131534,0.0002223153,0.001231749,0.000178195,0.00004553419,0.0006841602,0.000009510195,0.001611936],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08473872,"threshold_uncertainty_score":0.168491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1421299585226296,"score_gpt":0.5671762022165373,"score_spread":0.4250462436939078,"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."}}