{"id":"W2084306563","doi":"10.1289/ehp.1205212r","title":"Signal-To-Noise Crossover Dose: Sand et al. Respond","year":2012,"lang":"en","type":"article","venue":"Environmental Health Perspectives","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Extrapolation; Statistics; Benchmark (surveying); Noise (video); Risk assessment; Crossover; Crossover study; No-observed-adverse-effect level; Mathematics; Medicine; Toxicology; Computer science; Artificial intelligence; Geography; Biology; Internal medicine; Cartography","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":[0.003023067,0.000884958,0.001214891,0.0005008889,0.0006238807,0.001172471,0.0007599526,0.004527998,0.01615021],"category_scores_gemma":[0.007678403,0.0003551886,0.001275807,0.0002595148,0.001015758,0.0005155588,0.0004899951,0.001976921,0.001614462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005230877,"about_ca_system_score_gemma":0.001491059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009219188,"about_ca_topic_score_gemma":0.000893515,"domain_scores_codex":[0.9968054,0.001813554,0.0001733779,0.0004708842,0.0005274243,0.000209288],"domain_scores_gemma":[0.9973891,0.001614439,0.0001839965,0.0002973811,0.0002678714,0.0002470924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"not_applicable","study_design_scores_codex":[0.5510918,0.02649592,0.008686778,0.001869154,0.002151963,0.0007619219,0.0005397649,0.00585317,0.22525,0.007579398,0.01880836,0.1509116],"study_design_scores_gemma":[0.07087176,0.4136523,0.03020409,0.000724392,0.009057923,0.002191838,0.0007443309,0.02661521,0.3403997,0.01828967,0.08676827,0.0004805473],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.9336503,0.00500375,0.02132456,0.006442226,0.005955971,0.003851784,0.001551441,0.0004393818,0.02178059],"genre_scores_gemma":[0.9699914,0.001087419,0.006214973,0.004273589,0.0007009048,0.000932731,0.000435468,0.00009118344,0.01627214],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.01615021,"threshold_uncertainty_score":0.0540278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05796753760421647,"score_gpt":0.4168310604160453,"score_spread":0.3588635228118289,"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."}}