{"id":"W7099029753","doi":"","title":"CAIS – CentRe foR SuppoRt AnD SoCIAL InteGRAtIon BRAzIL-CAnADA, toRonto","year":2016,"lang":"en","type":"article","venue":"","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Social integration; Social assistance; System integration; Social relation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000508707,0.00004812896,0.000103201,0.000006436554,0.00004227232,0.000009196833,0.00001438957,0.00001850617,0.0005677575],"category_scores_gemma":[0.00003338376,0.00002639849,0.00003604836,0.00001308396,0.00001704924,0.00006003588,0.0000052647,0.0000126146,0.000002631747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008931536,"about_ca_system_score_gemma":0.00008421449,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1272372,"about_ca_topic_score_gemma":0.4878575,"domain_scores_codex":[0.9996398,0.000005398688,0.00007997325,0.00009739133,0.00008257005,0.00009487326],"domain_scores_gemma":[0.9997866,0.00002485202,0.00001960705,0.00004578444,0.00007788786,0.00004528898],"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":[0.00007591021,0.00002450558,0.02551915,0.00002887027,0.00007918655,0.000005772713,0.0002736727,8.027924e-9,0.01079665,0.001291645,0.6160895,0.3458152],"study_design_scores_gemma":[0.003364781,0.0002208996,0.04070069,0.00008617822,0.0005477255,0.00003094584,0.00324673,0.0005203669,0.02385787,0.0002418449,0.9268702,0.0003117869],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3237871,0.0002689486,0.06068655,0.4899535,0.0004011748,0.0007966749,0.0001353955,0.0001921242,0.1237786],"genre_scores_gemma":[0.9110003,0.00001205963,0.0006344522,0.001160829,0.0001550465,0.000002522077,0.00001854031,0.000005412582,0.08701084],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5872132,"threshold_uncertainty_score":0.8785746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009016948892919938,"score_gpt":0.2779875567585752,"score_spread":0.2689706078656553,"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."}}