{"id":"W4231938268","doi":"10.1002/chin.200031271","title":"ChemInform Abstract: Selenoxide Eliminations","year":2000,"lang":"en","type":"article","venue":"ChemInform","topic":"Organoselenium and organotellurium chemistry","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Chemistry; Service (business); Marketing; Business","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":[0.0002722221,0.0009726857,0.0004891099,0.0006845115,0.0005233109,0.0005520191,0.0007717552,0.0003718579,0.09305353],"category_scores_gemma":[0.0003737698,0.0002019385,0.0003000214,0.0006851776,0.0002343996,0.0008449411,0.0007734874,0.0009585507,0.02152544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004656303,"about_ca_system_score_gemma":0.0007749766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007314953,"about_ca_topic_score_gemma":0.0007597383,"domain_scores_codex":[0.9997806,0.00001734227,0.00001127475,0.00003790828,0.00009648385,0.00005632922],"domain_scores_gemma":[0.9999144,0.000009972377,0.00001307832,0.0000133886,0.00003124041,0.00001786521],"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":[0.002489802,0.000385787,0.0006347859,0.003513817,0.0001813002,0.001985942,0.0002579634,0.001798575,0.2998488,0.04430236,0.3822034,0.2623976],"study_design_scores_gemma":[0.0002233334,0.0006740365,0.0007069911,0.0001453611,0.00008447927,0.0008511203,0.0000595058,0.000787385,0.404266,0.005537938,0.5866271,0.00003669944],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1693861,0.0225193,0.04907997,0.007437296,0.01152151,0.0004270611,0.01705187,0.005693455,0.7168833],"genre_scores_gemma":[0.5360324,0.03275903,0.008030129,0.002013091,0.002017517,0.0001883731,0.01935692,0.001202563,0.3983999],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09305353,"threshold_uncertainty_score":0.3112951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04454003155516462,"score_gpt":0.3557545701554347,"score_spread":0.3112145386002701,"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."}}