{"id":"W4234889185","doi":"10.1515/iupac.78.0424","title":"Model (Computer)","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Pesticide and Herbicide Environmental Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Glossary; Computer science; Relation (database); Chemical nomenclature; Field (mathematics); Data science; Management science; Chemistry; Engineering; Data mining; Mathematics; 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":[0.001157722,0.002531497,0.001247247,0.003389529,0.0008139148,0.00332661,0.004092677,0.002089748,0.1434133],"category_scores_gemma":[0.008877411,0.0007205486,0.00215044,0.005431647,0.0003844586,0.003026191,0.001896302,0.002289158,0.1730923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002088059,"about_ca_system_score_gemma":0.002765061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03439806,"about_ca_topic_score_gemma":0.05824883,"domain_scores_codex":[0.9985932,0.0002481352,0.0002115675,0.0004903701,0.0003130739,0.0001437313],"domain_scores_gemma":[0.9967518,0.001149416,0.0002542771,0.0008887001,0.0007864017,0.0001695189],"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":[0.00006479055,0.000018714,0.0007843504,0.0009111554,0.00004438045,0.00001990993,0.00001793809,0.001086061,0.00007462832,0.00120406,0.9897921,0.00598188],"study_design_scores_gemma":[0.0001461955,0.00001471101,0.001294308,0.0003568516,0.00002710633,0.00004718838,0.00003966848,0.001668815,0.0002209629,0.0034076,0.9927508,0.00002582474],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009090357,0.0001084011,0.0002898895,0.0001170071,0.00002529663,0.0000205638,0.9965789,0.001303456,0.001465587],"genre_scores_gemma":[0.0004682109,0.0001237321,0.0008073954,0.0001137694,0.000007221088,0.0001030552,0.9972096,0.0002325122,0.0009344738],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1434133,"threshold_uncertainty_score":0.4797655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01724807840052365,"score_gpt":0.3497920467919864,"score_spread":0.3325439683914628,"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."}}