{"id":"W4233352136","doi":"10.1515/iupac.78.0206","title":"Chloride Channel Activator","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Pesticide Residue Analysis and Safety","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Pesticide; Relation (database); Management science; Chemistry; Engineering; Ecology; Biology; Data mining","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000419865,0.0004059976,0.0006688351,0.0000337513,0.0002152173,0.00007482166,0.0006037174,0.000383232,0.007529087],"category_scores_gemma":[0.0003839271,0.0001208692,0.0003419025,0.00030373,0.00008634401,0.00009781148,0.0001877512,0.0003275668,0.000008333803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001694075,"about_ca_system_score_gemma":0.0001000535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006831173,"about_ca_topic_score_gemma":0.004333653,"domain_scores_codex":[0.9975078,0.00008065555,0.0004222968,0.0005678752,0.0009130608,0.0005083404],"domain_scores_gemma":[0.9987228,0.0002395917,0.0002836106,0.0002174551,0.0002931941,0.0002433764],"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":[0.0001103264,0.0001116041,0.000008972967,0.00001396824,0.00008658227,0.00002861094,0.000001221596,4.387046e-7,0.0005504143,0.000003143984,0.9894092,0.009675503],"study_design_scores_gemma":[0.0001572793,0.0001786163,0.0009431298,0.0001463252,0.0001018869,0.000006445146,0.00001550612,0.000002226731,0.0002103583,0.0001958966,0.9976525,0.0003897779],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004015841,0.00032469,0.000004469233,0.002067904,0.000276467,0.0001447122,0.9930652,0.00005466078,0.00004610115],"genre_scores_gemma":[0.001109097,0.001836028,0.000001827589,0.0003951534,0.002544035,0.00001202957,0.9936947,0.000002120873,0.0004050002],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.009285725,"threshold_uncertainty_score":0.9933782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01766607688367552,"score_gpt":0.3444955641258908,"score_spread":0.3268294872422153,"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."}}