{"id":"W4247776457","doi":"10.1515/iupac.85.0639","title":"Orthogonal Extraction","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; National Research Council Canada","funders":"","keywords":"Chemical nomenclature; Terminology; Mass spectrometry; Chemistry; Tandem mass spectrometry; Analytical Chemistry (journal); Chromatography; Organic chemistry; 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":[0.002204562,0.002892943,0.001735796,0.005570564,0.001337981,0.004417699,0.002704947,0.001653449,0.129009],"category_scores_gemma":[0.0151349,0.0006986414,0.002781535,0.008205377,0.000550562,0.003384874,0.002984616,0.002060225,0.2406805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00187139,"about_ca_system_score_gemma":0.0049433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01124227,"about_ca_topic_score_gemma":0.01852619,"domain_scores_codex":[0.9961957,0.0006366746,0.0006663626,0.001203296,0.0008947574,0.0004032943],"domain_scores_gemma":[0.9946805,0.001221633,0.0003889966,0.001502565,0.002002039,0.0002042618],"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":[0.0001487377,0.00002928179,0.000746172,0.001470824,0.00005225382,0.0000374567,0.00002876948,0.0002691383,0.0003132154,0.001283954,0.9732453,0.02237491],"study_design_scores_gemma":[0.00009765084,0.00001776183,0.001214205,0.0004150578,0.0000314985,0.00005618584,0.00008431092,0.0003194046,0.0006140115,0.002986698,0.9941374,0.00002583835],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001827532,0.0003373511,0.001205791,0.0001614835,0.0001120312,0.00009405029,0.9929829,0.001848333,0.003075442],"genre_scores_gemma":[0.0004795503,0.000314391,0.002467506,0.0001170172,0.00002322165,0.0002770039,0.9940476,0.0002220751,0.002051556],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.129009,"threshold_uncertainty_score":0.4315782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01326019665040895,"score_gpt":0.4060165214187314,"score_spread":0.3927563247683225,"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."}}