{"id":"W4200422747","doi":"10.1002/cjce.24332","title":"Cover Image","year":2021,"lang":"en","type":"paratext","venue":"The Canadian Journal of Chemical Engineering","topic":"Advanced Data Processing Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cover (algebra); Environmental science; Geology; Remote sensing; Engineering","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001527419,0.0002974305,0.0004368743,0.000189025,0.00004008293,0.0001601303,0.0007085688,0.0002893876,0.0009211767],"category_scores_gemma":[0.0001936651,0.0002530698,0.0001483493,0.0002277847,0.00007249159,0.0001902001,0.00002966025,0.001497821,0.0002572241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005565202,"about_ca_system_score_gemma":0.0006296397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009439426,"about_ca_topic_score_gemma":0.00002259415,"domain_scores_codex":[0.9988367,0.000008284684,0.0004295117,0.0001104097,0.0002033001,0.0004117834],"domain_scores_gemma":[0.9989255,0.0000769672,0.0001037607,0.0003272968,0.000167734,0.0003987374],"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":[0.000001552548,0.000001750263,1.041286e-7,0.0002602153,0.0001183753,0.000159086,0.00006351295,0.05227198,0.05083973,0.00003516006,0.8955839,0.0006646509],"study_design_scores_gemma":[0.0001267835,0.000008473584,4.46687e-7,0.0008858728,0.00004708717,0.0005190803,0.000003114908,0.00565427,0.2607622,0.00007683358,0.7314748,0.0004410142],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01374954,0.2232496,0.5028898,0.002341994,0.02939874,0.001028631,0.002165999,0.001050946,0.2241248],"genre_scores_gemma":[0.777785,0.00258443,0.1792551,0.001041968,0.01579136,0.0000701445,0.001076073,0.002228007,0.02016791],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7640355,"threshold_uncertainty_score":0.9999921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007307285178204279,"score_gpt":0.214551572535983,"score_spread":0.2072442873577788,"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."}}