{"id":"W4235669344","doi":"10.1515/iupac.73.0193","title":"Degumming","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan College","funders":"","keywords":"Table (database); Commission; Product (mathematics); Food science; Chemistry; Biochemistry; Organic chemistry; Polymer science; Computer science; Political science; Mathematics; Law; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002171454,0.003972694,0.001808814,0.007899731,0.001603776,0.003972326,0.00371015,0.002796188,0.05098061],"category_scores_gemma":[0.01487837,0.0007839802,0.003161666,0.01069307,0.0007276658,0.00357417,0.003183839,0.002421746,0.09006289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001846514,"about_ca_system_score_gemma":0.004055493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01753047,"about_ca_topic_score_gemma":0.03857426,"domain_scores_codex":[0.9958688,0.0005998244,0.0006388669,0.00161388,0.0007780009,0.0005007936],"domain_scores_gemma":[0.9961494,0.001106745,0.000310738,0.001132878,0.001100029,0.0002001706],"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":[0.0002289868,0.00004815385,0.003376277,0.002405145,0.0001081937,0.00009178634,0.00006186184,0.000901034,0.0004763828,0.001490983,0.9722014,0.01860975],"study_design_scores_gemma":[0.000206445,0.00004283658,0.004506327,0.0006495388,0.00007915743,0.0001919381,0.0001720468,0.00175495,0.001151805,0.004686547,0.9865057,0.0000527364],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006604962,0.0009177711,0.0006902827,0.000239539,0.0002001905,0.00005793042,0.9935661,0.001825484,0.001842135],"genre_scores_gemma":[0.0009482065,0.0003446862,0.00160029,0.0001106808,0.00002276088,0.0001135997,0.9959283,0.0001460844,0.0007852876],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9490194,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01796757120242712,"score_gpt":0.4253456934509403,"score_spread":0.4073781222485132,"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."}}