{"id":"W36220306","doi":"10.1136/bmjgh-2022-009500","title":"Geographically regulated designs of incidence surveys can match the precision of classical survey designs whilst requiring smaller sample sizes: the case of snakebite envenoming in Sri Lanka.","year":2022,"lang":"en","type":"article","venue":"PubMed","topic":"Visual Attention and Saliency Detection","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Task (project management); Hidden Markov model; Eye movement; Artificial intelligence; Probabilistic logic; Inference; Gaze-contingency paradigm; Process (computing); Speech recognition; Visual perception; Psychology; Perception","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":[0.06594005,0.0007568305,0.0009277244,0.001088928,0.0007718549,0.0009128364,0.002265098,0.001280255,0.001965222],"category_scores_gemma":[0.109352,0.0005765472,0.001186672,0.001451716,0.001845712,0.001229645,0.002116129,0.001086597,0.0004486818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001190672,"about_ca_system_score_gemma":0.001813655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002706751,"about_ca_topic_score_gemma":0.004201166,"domain_scores_codex":[0.8385462,0.1486891,0.002557145,0.005095613,0.004560235,0.0005517924],"domain_scores_gemma":[0.882512,0.07501394,0.02046973,0.01618907,0.005054445,0.0007609911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00365536,0.002197434,0.6838635,0.003672013,0.002835656,0.0007550389,0.004163037,0.05960784,0.007210748,0.01761386,0.003767513,0.2106579],"study_design_scores_gemma":[0.001748362,0.02293935,0.8128603,0.001066004,0.001349003,0.001795128,0.003490664,0.09330947,0.008762048,0.03024304,0.02212767,0.0003089826],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4777059,0.00124781,0.5049143,0.0008207546,0.0002023366,0.006676246,0.001073027,0.0004036168,0.006955969],"genre_scores_gemma":[0.7961676,0.000320527,0.1958294,0.0004593214,0.00005909091,0.006212325,0.0004457566,0.00002993351,0.0004759738],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.06594005,"threshold_uncertainty_score":0.3487285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08856157083785715,"score_gpt":0.2764177259920395,"score_spread":0.1878561551541824,"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."}}