{"id":"W2045084192","doi":"10.1021/es501961k","title":"Beyond Safe Operating Space: Finding Chemical Footprinting Feasible","year":2014,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Chemistry and Chemical Engineering","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Rijksinstituut voor Volksgezondheid en Milieu","keywords":"Footprinting; Space (punctuation); Chemical space; Biochemical engineering; Computer science; Chemistry; Engineering; Gene; Biochemistry; Base sequence; Drug discovery","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004044264,0.0002208006,0.000180805,0.00009091942,0.0004021266,0.0000486838,0.0008374986,0.0001710486,0.00115894],"category_scores_gemma":[0.0001826316,0.0002231997,0.00004999325,0.000812098,0.001723798,0.0002673556,0.001227848,0.0003903527,0.0003547268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005329971,"about_ca_system_score_gemma":0.000007801721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009296756,"about_ca_topic_score_gemma":5.273681e-7,"domain_scores_codex":[0.9978495,0.000007782237,0.0002405554,0.0007170453,0.0004528266,0.0007323196],"domain_scores_gemma":[0.999275,0.00003400385,0.00007381585,0.0004301326,0.000001521851,0.000185585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000001154144,0.0000367775,0.02461461,0.000002892383,0.000001573503,0.000002302267,0.00004229276,0.001002498,0.9614471,0.0004523586,0.0000309339,0.0123655],"study_design_scores_gemma":[0.0002030616,0.00002675256,0.002443149,0.00001170941,0.000005040926,0.00005080704,0.0001336391,0.004320894,0.9863313,0.0009399172,0.0052381,0.000295664],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9576162,0.00001970082,0.001095896,0.0004346178,0.00007746316,0.00009791939,9.404224e-7,0.0001657608,0.04049148],"genre_scores_gemma":[0.9924633,0.000005679243,0.007024423,0.00008607507,0.00005294229,0.00001988859,0.000002225546,0.00001779138,0.0003277059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04016377,"threshold_uncertainty_score":0.9997541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003331618110002623,"score_gpt":0.1917664515547698,"score_spread":0.1884348334447672,"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."}}