{"id":"W4234650858","doi":"10.1088/1757-899x/841/1/011001","title":"Preface","year":2020,"lang":"en","type":"article","venue":"IOP Conference Series Materials Science and Engineering","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Czech; Gratitude; Library science; Mechatronics; Technical university; Engineering; Relevance (law); Political science; Psychology; Computer science; Electrical engineering","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":[0.001671582,0.00122143,0.0009831215,0.002808115,0.00313782,0.005392214,0.001987525,0.001963825,0.4659573],"category_scores_gemma":[0.01268102,0.0003991357,0.0008043208,0.002496413,0.001035002,0.004119025,0.002808522,0.003782788,0.3369015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002370004,"about_ca_system_score_gemma":0.002918651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00313082,"about_ca_topic_score_gemma":0.00309459,"domain_scores_codex":[0.9982755,0.0002593894,0.0001443743,0.0003416015,0.0008185962,0.0001605094],"domain_scores_gemma":[0.9943466,0.000897918,0.0002494079,0.0005515966,0.003163943,0.0007905873],"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":[0.00003086832,0.00001662701,0.0001151505,0.0001423093,0.000003254508,0.00006324001,0.0001296093,0.00007182412,0.0001124063,0.005367632,0.955212,0.03873506],"study_design_scores_gemma":[0.000003475898,0.00001408439,0.0001711432,0.0001265736,0.0000016587,0.00008424239,0.0001125599,0.00002607439,0.00005411133,0.002146523,0.9972542,0.000005403514],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.002101105,0.01979713,0.009802112,0.04542306,0.1723912,0.0006573532,0.01535465,0.002932016,0.7315414],"genre_scores_gemma":[0.01030158,0.01197595,0.004969717,0.0118488,0.02798497,0.0004724898,0.01670522,0.001547769,0.9141936],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.4659573,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01421073358897489,"score_gpt":0.1886975316863414,"score_spread":0.1744867980973665,"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."}}