{"id":"W4238739496","doi":"10.1515/iupac.83.0485","title":"Factors Controlling Reactivity in CHG","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Electrochemical Analysis and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Standards Association","funders":"","keywords":"Borane; Chemistry; Reactivity (psychology); Derivatization; Catalysis; Nanotechnology; Organic chemistry; Materials science; Mass spectrometry; Chromatography","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":[0.00129914,0.0007227809,0.0009912975,0.002480123,0.0003517109,0.001514342,0.0009964021,0.0008495018,0.006244975],"category_scores_gemma":[0.008359684,0.0002144692,0.00123028,0.005947514,0.0003298765,0.0008213976,0.0009801992,0.0008422747,0.004552884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008418033,"about_ca_system_score_gemma":0.0008536914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01108061,"about_ca_topic_score_gemma":0.01421062,"domain_scores_codex":[0.9982787,0.0002900949,0.0003891906,0.0005924812,0.0002505755,0.0001988816],"domain_scores_gemma":[0.9973184,0.001334466,0.0005190689,0.0003396938,0.0004152969,0.00007308111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002649181,0.0001745598,0.4765035,0.02478771,0.002012745,0.0004149987,0.0005240715,0.006702085,0.004480055,0.003990557,0.3962059,0.08155479],"study_design_scores_gemma":[0.0003499127,0.0001145532,0.359977,0.001722883,0.0007532364,0.0006837834,0.0004999776,0.002282983,0.002991863,0.002642904,0.6278914,0.00008955714],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02694001,0.003949606,0.000336316,0.0004101431,0.00006451524,0.00004961329,0.965802,0.0001897328,0.002258156],"genre_scores_gemma":[0.04598424,0.001688938,0.0008949267,0.0002507985,0.00002709363,0.000187281,0.9499507,0.00007586128,0.0009401165],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01108061,"threshold_uncertainty_score":0.02203226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01552783646216027,"score_gpt":0.3739069259305102,"score_spread":0.35837908946835,"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."}}