{"id":"W2129500923","doi":"10.1002/etc.632","title":"Method development for aquatic ecotoxicological characterization factor calculation for hydrocarbon mixtures in life cycle assessment","year":2011,"lang":"en","type":"article","venue":"Environmental Toxicology and Chemistry","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"ArcelorMittal","keywords":"Environmental chemistry; Pollutant; Petroleum; Chemistry; Solubility; Hydrocarbon; Aquatic ecosystem; Environmental science; Petroleum product; Organic chemistry","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":[0.004527873,0.001765097,0.0008997005,0.002716217,0.0006873875,0.001009346,0.001518417,0.001202451,0.006981205],"category_scores_gemma":[0.01320608,0.0007930789,0.001277308,0.001785963,0.0004296991,0.001155404,0.001403128,0.001544602,0.004664941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008624607,"about_ca_system_score_gemma":0.002504793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003992375,"about_ca_topic_score_gemma":0.003812315,"domain_scores_codex":[0.997271,0.0006605765,0.0002041865,0.0003513696,0.001422078,0.00009071339],"domain_scores_gemma":[0.9946939,0.001859034,0.0003774555,0.0003738743,0.002629592,0.00006612819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002683442,0.0003044304,0.006129797,0.002418453,0.0002528632,0.0003527407,0.0002850165,0.05089593,0.1525021,0.01347093,0.01237074,0.7607486],"study_design_scores_gemma":[0.0001280109,0.0004946833,0.00640059,0.0005729805,0.0002435629,0.0006903589,0.0002321774,0.5286129,0.2923356,0.01456878,0.1554537,0.0002666201],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001705032,0.0003822803,0.9940538,0.00003975306,0.00003463136,0.0003435515,0.0003191537,0.001819715,0.001302151],"genre_scores_gemma":[0.01860106,0.0007268604,0.9763852,0.0000603197,0.00001984142,0.001421695,0.0007468768,0.0004183706,0.001619652],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006981205,"threshold_uncertainty_score":0.02394593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01810013306726575,"score_gpt":0.262877623209515,"score_spread":0.2447774901422492,"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."}}