{"id":"W4242882958","doi":"10.1515/iupac.81.0010","title":"Abiotic Transformation","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"History and advancements in chemistry","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Environmental risk assessment; Ecology; Environmental science; Computer science; Biology; Risk assessment; Philosophy; Linguistics","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":[0.001131874,0.003011156,0.00193913,0.00329603,0.001879125,0.004125808,0.003083315,0.002086969,0.0833515],"category_scores_gemma":[0.005153444,0.0008405225,0.002638734,0.006614488,0.0006146603,0.002542402,0.003022646,0.00276929,0.1645737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001915955,"about_ca_system_score_gemma":0.00261853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01854529,"about_ca_topic_score_gemma":0.03337096,"domain_scores_codex":[0.9978465,0.000266172,0.0002616197,0.0007764912,0.0005688303,0.0002804118],"domain_scores_gemma":[0.9977596,0.0004503114,0.0002318579,0.0007969316,0.0006112402,0.0001501289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002526761,0.00007116616,0.004417695,0.002193639,0.00009687719,0.00008013163,0.00005843488,0.0007052387,0.001314703,0.002111557,0.9766349,0.01206291],"study_design_scores_gemma":[0.00008811744,0.00002231973,0.003884013,0.0002094278,0.00003294624,0.00009157426,0.00007737087,0.0002959808,0.0007155042,0.001883552,0.9926701,0.00002914658],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003522822,0.0001743059,0.0002182036,0.00006307482,0.00004636966,0.00001997627,0.9965903,0.0005954152,0.001940084],"genre_scores_gemma":[0.000410997,0.0001054731,0.0003477817,0.00005571648,0.000004424877,0.00004765002,0.998108,0.00007228362,0.0008476387],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0833515,"threshold_uncertainty_score":0.2788385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01174570680480021,"score_gpt":0.375808627523666,"score_spread":0.3640629207188658,"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."}}