{"id":"W4237328694","doi":"10.1002/cjce.22983","title":"Issue Highlights","year":2018,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Minerals Flotation and Separation Techniques","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citation; Computer science; Quality (philosophy); Extraction (chemistry); Process (computing); Information retrieval; Process engineering; World Wide Web; Engineering; Chemistry; Chromatography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001182067,0.0000426928,0.00005277612,0.00002580348,0.00004128535,0.00002136991,0.0001637293,0.0000256818,0.002188832],"category_scores_gemma":[0.00005173655,0.00002891301,0.00002473169,0.00008863981,0.00007507366,0.00006759377,0.000006786496,0.00008205828,0.0001489292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008865174,"about_ca_system_score_gemma":0.00002500671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007551247,"about_ca_topic_score_gemma":0.000467999,"domain_scores_codex":[0.9996409,0.00000514139,0.0001227217,0.00003451311,0.00009297356,0.0001036896],"domain_scores_gemma":[0.9996902,0.00001384952,0.00003515745,0.00006396874,0.00001628863,0.0001805389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000005438901,0.000005175523,0.0002214046,0.000003047066,0.00001344295,0.00001543718,0.001337528,0.001066119,0.8598972,0.003003277,0.1324115,0.00202047],"study_design_scores_gemma":[0.00006705064,0.00002551945,0.0002350183,0.000009395862,0.000004405595,0.00004733445,0.000002899201,0.002863688,0.6695824,0.0002741756,0.326819,0.00006919999],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.981482,0.00004749699,0.001585733,0.00511,0.0003811228,0.00006121051,0.000001119398,0.00002416203,0.01130714],"genre_scores_gemma":[0.9979703,5.028671e-7,0.001153723,0.0003143403,0.0002424398,5.472809e-7,2.262724e-7,0.000004799004,0.0003130778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1944075,"threshold_uncertainty_score":0.9987233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0066665539463103,"score_gpt":0.2043689176326329,"score_spread":0.1977023636863226,"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."}}