{"id":"W2132319558","doi":"10.1080/10629360902949153","title":"The physicochemical basis of QSARs for baseline toxicity","year":2009,"lang":"en","type":"article","venue":"SAR and QSAR in environmental research","topic":"Electrochemical Analysis and Applications","field":"Chemistry","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Toxicity; Fugacity; Abiotic component; Environmental chemistry; Bioassay; Chemistry; Organism; Chemical toxicity; Bioconcentration; Quantitative structure–activity relationship; Baseline (sea); Acute toxicity; Toxicology; Biology; Ecology; Bioaccumulation; Organic chemistry; Stereochemistry; Fishery","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":[0.004032304,0.00191433,0.002247542,0.001704849,0.0004172076,0.001778494,0.001374504,0.001166733,0.001948193],"category_scores_gemma":[0.005246932,0.000693022,0.001682543,0.001399699,0.00224422,0.002712952,0.0008657788,0.002990434,0.00106306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001390434,"about_ca_system_score_gemma":0.0006900099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007025787,"about_ca_topic_score_gemma":0.0003867274,"domain_scores_codex":[0.9977986,0.0008413559,0.0002158958,0.0003963533,0.0006524066,0.00009531435],"domain_scores_gemma":[0.9949716,0.003488585,0.0007105599,0.0002737601,0.00050931,0.0000461388],"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":[0.000347926,0.0003142584,0.01323948,0.007503196,0.0009369816,0.001162043,0.0003461451,0.1704144,0.3630472,0.2043125,0.004999497,0.2333765],"study_design_scores_gemma":[0.00006200894,0.003106416,0.02584215,0.0006903567,0.0009847268,0.002625191,0.0003906535,0.2819518,0.2383595,0.3438673,0.1016894,0.000430599],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05028896,0.09892774,0.8308175,0.003284829,0.0004305879,0.0004527264,0.001487078,0.001033799,0.01327683],"genre_scores_gemma":[0.7567028,0.08828654,0.1437335,0.002073349,0.0007849194,0.0008826735,0.002317933,0.0001468481,0.005071406],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004032304,"threshold_uncertainty_score":0.02132511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02128525870079315,"score_gpt":0.3210973542823229,"score_spread":0.2998120955815298,"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."}}