{"id":"W3125997444","doi":"10.1016/j.scitotenv.2020.144745","title":"Comparing the effects of unconventional and conventional crude oil exposures on zebrafish and their progeny using behavioral and genetic markers","year":2021,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Huntsman Marine Science Centre; University of Alberta","funders":"Alberta Innovates","keywords":"Aquatic ecosystem; Biology; Toxicity; Freshwater ecosystem; Aquatic toxicology; Oil sands; Crude oil; Environmental chemistry; Toxicology; Zoology; Ecosystem; Ecology; Asphalt; Chemistry; Petroleum engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001225906,0.0004351562,0.0001857978,0.0003440938,0.0002012291,0.0002277317,0.000221182,0.0002758277,0.001367121],"category_scores_gemma":[0.0002741385,0.0001530497,0.000269054,0.0001597092,0.0004186753,0.0001894896,0.0003492544,0.0004938704,0.00007470005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005197005,"about_ca_system_score_gemma":0.0005042506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008620526,"about_ca_topic_score_gemma":0.02536836,"domain_scores_codex":[0.9998081,0.00002192143,0.00001274788,0.00006331102,0.00004897618,0.00004496914],"domain_scores_gemma":[0.9997178,0.00005541072,0.00008672834,0.00002807174,0.00004046855,0.00007141907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001911122,0.0001786764,0.00562626,0.00002592335,0.0000364443,0.00007555144,0.00009777045,0.00009668697,0.9892833,0.0001057422,0.0000342598,0.002528335],"study_design_scores_gemma":[0.00009528326,0.006359383,0.2500486,0.00001776763,0.0002622931,0.0001816122,0.0005758792,0.0008320799,0.7402928,0.0002107816,0.001074136,0.00004930791],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992579,0.000050646,0.0002612056,0.00002128042,0.000007406597,0.000008522283,0.0001318152,0.0000061913,0.0002551531],"genre_scores_gemma":[0.9950276,0.0001886634,0.000770309,0.00005212385,0.000003663139,0.00004549688,0.0002188894,0.00001109496,0.003682255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008620526,"threshold_uncertainty_score":0.01714069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01273774988149446,"score_gpt":0.2111674297826627,"score_spread":0.1984296799011682,"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."}}