{"id":"W4256549752","doi":"10.1088/1757-899x/855/1/011001","title":"Preface","year":2020,"lang":"en","type":"article","venue":"IOP Conference Series Materials Science and Engineering","topic":"Gas Sensing Nanomaterials and Sensors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Presentation (obstetrics); Session (web analytics); Library science; China; Plenary session; Engineering ethics; Work (physics); Political science; Engineering; Computer science; Medicine; Mechanical engineering; World Wide Web","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":[],"consensus_categories":[],"category_scores_codex":[0.002260586,0.001194315,0.0009201558,0.00246963,0.003254342,0.005510805,0.002245006,0.002255813,0.3961898],"category_scores_gemma":[0.01680577,0.0004248277,0.0008281576,0.001858918,0.0011409,0.004633134,0.002854958,0.004348683,0.3073658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002403906,"about_ca_system_score_gemma":0.00314669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002742956,"about_ca_topic_score_gemma":0.002842299,"domain_scores_codex":[0.9979106,0.0003526554,0.0001763683,0.0004071461,0.0009741038,0.0001791789],"domain_scores_gemma":[0.992321,0.001299375,0.0003247302,0.0007489827,0.004315055,0.0009909547],"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":[0.00002867824,0.00001641682,0.0001171064,0.0001406001,0.000003291825,0.00006865559,0.0001715969,0.00006526799,0.0001273678,0.006440863,0.9568967,0.0359234],"study_design_scores_gemma":[0.000003179876,0.0000150066,0.0001431105,0.0001169375,0.000001574839,0.00008415939,0.0001096182,0.00002413471,0.0000619487,0.00214321,0.9972916,0.000005430426],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.002009762,0.01556635,0.01282893,0.06823266,0.2334999,0.0007110456,0.01255331,0.002935625,0.6516623],"genre_scores_gemma":[0.01188933,0.01012869,0.006881737,0.02038202,0.03915384,0.000598685,0.01436074,0.002003697,0.8946013],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.3961898,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01660191091968348,"score_gpt":0.185699230742557,"score_spread":0.1690973198228735,"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."}}