{"id":"W4237419562","doi":"10.1515/iupac.81.0251","title":"Diffusion","year":2016,"lang":"fr","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Environmental risk assessment; Computer science; Ecology; Risk assessment; Biology; Data mining; 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":[0.002529086,0.002007165,0.001513959,0.004681049,0.001696648,0.006149354,0.004071425,0.002363002,0.1812723],"category_scores_gemma":[0.02264122,0.000867346,0.002587542,0.009524334,0.0006693447,0.00623488,0.004207784,0.003120167,0.2536609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002243262,"about_ca_system_score_gemma":0.004019864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03247405,"about_ca_topic_score_gemma":0.055324,"domain_scores_codex":[0.9960111,0.0007252034,0.0005887083,0.001406782,0.0008222202,0.0004459792],"domain_scores_gemma":[0.9928504,0.001934675,0.0004969675,0.002455919,0.001846704,0.0004152481],"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":[0.00008496381,0.00002097448,0.001573712,0.0006043554,0.00003372512,0.00002035221,0.0000759621,0.0003124817,0.00006363271,0.002866107,0.9843568,0.009986958],"study_design_scores_gemma":[0.00007222394,0.000009818385,0.001588135,0.0002928899,0.0000160952,0.00005199937,0.0001516702,0.0004685593,0.0001514279,0.003553556,0.9936194,0.00002428244],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003656817,0.0002431997,0.0005098341,0.0004732986,0.0001377462,0.0000566273,0.9887788,0.001970849,0.00746412],"genre_scores_gemma":[0.001197894,0.0002349769,0.001504897,0.0002409147,0.00002735028,0.0001922978,0.9906641,0.0005100875,0.005427469],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1812723,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01491157796993549,"score_gpt":0.403734606703148,"score_spread":0.3888230287332126,"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."}}