{"id":"W3031342953","doi":"10.1136/bmjopen-2019-032729","title":"Population Registry of Esophageal and Stomach Tumours in Ontario (PRESTO): protocol for a multicentre clinical and pathological database including 25 000 patients","year":2020,"lang":"en","type":"article","venue":"BMJ Open","topic":"Esophageal Cancer Research and Treatment","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Manitoba; Institute for Clinical Evaluative Sciences; Sunnybrook Health Science Centre; University of Toronto","funders":"","keywords":"Medicine; Cancer registry; Population; Esophageal cancer; Disease; Incidence (geometry); Database; Epidemiology; Health care; Family medicine; Pathological; Cancer; General surgery; Internal medicine; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01653559,0.001200468,0.002066956,0.004675143,0.004027643,0.002541605,0.004133552,0.001325484,0.02184338],"category_scores_gemma":[0.02538946,0.001364254,0.001357557,0.01212979,0.001268539,0.001475248,0.002084207,0.00108819,0.007016651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01898346,"about_ca_system_score_gemma":0.06105402,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4604797,"about_ca_topic_score_gemma":0.5834516,"domain_scores_codex":[0.9875633,0.003818912,0.003151409,0.001431397,0.003088013,0.0009470741],"domain_scores_gemma":[0.9658639,0.002324313,0.005994943,0.004154873,0.01929802,0.002363951],"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":[0.007279026,0.001730002,0.1844568,0.01340751,0.0005708574,0.001116445,0.005619538,0.003180685,0.003383597,0.005599172,0.7114136,0.06224281],"study_design_scores_gemma":[0.004402105,0.0009157873,0.6074848,0.002933848,0.000297387,0.0005482982,0.001947377,0.002338597,0.0009140074,0.0006429867,0.3773558,0.0002190841],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"protocol","genre_scores_codex":[0.0227138,0.0005974084,0.008832305,0.001108821,0.0002092434,0.4653969,0.48559,0.0003468662,0.0152047],"genre_scores_gemma":[0.05505562,0.0008869179,0.02092225,0.001113896,0.0002467268,0.5861707,0.3279679,0.0001312759,0.00750479],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.5395203,"threshold_uncertainty_score":0.9155988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2757029539639885,"score_gpt":0.5147847395550904,"score_spread":0.2390817855911019,"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."}}