{"id":"W4243132958","doi":"10.1088/1757-899x/646/1/011001","title":"Preface","year":2019,"lang":"en","type":"article","venue":"IOP Conference Series Materials Science and Engineering","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Prosperity; Beijing; Engineering ethics; Computer science; Engineering; China; Library science; Engineering management; Artificial intelligence; Political science","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":[0.001390892,0.001248024,0.0009515556,0.003050938,0.002824514,0.005381415,0.001775216,0.001694182,0.5459188],"category_scores_gemma":[0.007250892,0.000468785,0.0008345497,0.002574628,0.0007870957,0.003982313,0.002625115,0.003283551,0.4127367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002378477,"about_ca_system_score_gemma":0.002744529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003544916,"about_ca_topic_score_gemma":0.003895013,"domain_scores_codex":[0.9987829,0.0001541501,0.00008721047,0.0002497537,0.0006011488,0.0001248113],"domain_scores_gemma":[0.9964462,0.0004587139,0.0001441845,0.0003095148,0.002092323,0.0005491385],"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":[0.00002879857,0.00001817263,0.000101519,0.0001228743,0.000002417839,0.00005255536,0.00009343843,0.00006348891,0.0001082686,0.004121638,0.9572217,0.03806503],"study_design_scores_gemma":[0.000002775126,0.00001175954,0.0001653252,0.0000969562,0.000001362245,0.00006581678,0.0000873343,0.00002472929,0.00005479974,0.00116005,0.9983247,0.000004381799],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001663342,0.01184568,0.007116448,0.02318014,0.1021033,0.0007413595,0.01530232,0.002925767,0.8351217],"genre_scores_gemma":[0.004939193,0.005941958,0.0026924,0.00498681,0.01029189,0.0003152897,0.0144774,0.001076825,0.9552782],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4540812,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01307770144303037,"score_gpt":0.1994718937064846,"score_spread":0.1863941922634542,"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."}}