{"id":"W4247513012","doi":"10.1088/1757-899x/617/1/011001","title":"Preface","year":2019,"lang":"en","type":"article","venue":"IOP Conference Series Materials Science and Engineering","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pleasure; Process (computing); Library science; Engineering ethics; Political science; Engineering; Computer science; Psychology; Neuroscience","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001379083,0.001030628,0.0008420307,0.002540272,0.002537513,0.004080129,0.001518732,0.001409708,0.4713762],"category_scores_gemma":[0.009956892,0.0003347193,0.0006416906,0.002030512,0.0007028644,0.003176784,0.002132605,0.003273121,0.3444766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001659339,"about_ca_system_score_gemma":0.001880053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002325367,"about_ca_topic_score_gemma":0.002327208,"domain_scores_codex":[0.998908,0.00013602,0.00008841229,0.0001944007,0.0005798211,0.00009333302],"domain_scores_gemma":[0.9950324,0.0008411714,0.0002106668,0.0004369082,0.002778549,0.0007002652],"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":[0.00003134172,0.00001898942,0.00009751671,0.0001142654,0.000002183993,0.00005838358,0.00008929345,0.00006727014,0.0001709441,0.00301949,0.9560825,0.04024788],"study_design_scores_gemma":[0.000002863315,0.00001623861,0.0001845699,0.00009074765,0.000001254757,0.0000738004,0.00006962576,0.00002175009,0.00006543419,0.001417534,0.9980521,0.000004101428],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002171054,0.01687664,0.009816247,0.03582841,0.2037271,0.0007163285,0.01541837,0.00312161,0.7123243],"genre_scores_gemma":[0.007864362,0.009695305,0.004353675,0.008753655,0.03315552,0.0004112151,0.01537379,0.001359444,0.919033],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5286238,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01141097821388561,"score_gpt":0.2143038489113643,"score_spread":0.2028928706974787,"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."}}