{"id":"W4248348251","doi":"10.1088/1757-899x/853/1/011001","title":"Preface","year":2020,"lang":"en","type":"article","venue":"IOP Conference Series Materials Science and Engineering","topic":"Flexible and Reconfigurable Manufacturing Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Library science; Control (management); Political science; Engineering ethics; Event (particle physics); Engineering management; Engineering; Management; Artificial intelligence; Computer science; Law","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":[0.002284053,0.001019348,0.0009468871,0.002820717,0.003402964,0.005456836,0.002036809,0.001612955,0.4327609],"category_scores_gemma":[0.01099135,0.0003660333,0.0006478099,0.002293936,0.0008214062,0.00310412,0.002517824,0.003223201,0.3046402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003572145,"about_ca_system_score_gemma":0.006094658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009881031,"about_ca_topic_score_gemma":0.01123549,"domain_scores_codex":[0.9982712,0.0002193775,0.0001344223,0.0003005025,0.0008975122,0.0001769365],"domain_scores_gemma":[0.9919285,0.0007357483,0.0002281656,0.0005975729,0.005163122,0.001346822],"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":[0.00002110015,0.00001199571,0.00007762144,0.00008535126,0.000001620345,0.00003088386,0.00007285325,0.00003914092,0.0001003581,0.003143403,0.9689413,0.02747432],"study_design_scores_gemma":[0.000002310133,0.000009855433,0.0001809499,0.00007351147,0.000001112472,0.00003526524,0.00006693449,0.000017583,0.00004225416,0.000831207,0.9987355,0.000003536349],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001650581,0.01298919,0.007170703,0.04488993,0.2147846,0.0009921727,0.01725997,0.002382801,0.6978801],"genre_scores_gemma":[0.006244941,0.007997203,0.00367565,0.007695726,0.02463549,0.0004560592,0.01509629,0.001092473,0.9331062],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5672391,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01681273679551922,"score_gpt":0.1889685619409677,"score_spread":0.1721558251454485,"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."}}