{"id":"W4235903060","doi":"10.1109/smi.2005.34","title":"Preface","year":2005,"lang":"en","type":"article","venue":"","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Convention; Session (web analytics); Presentation (obstetrics); Event (particle physics); Library science; Computer science; World Wide Web; Political 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":[],"consensus_categories":[],"category_scores_codex":[0.001660188,0.001166365,0.001007602,0.003045163,0.001883096,0.005561954,0.001749404,0.001528347,0.5217071],"category_scores_gemma":[0.0109196,0.0003713431,0.0007047481,0.002344689,0.0006040153,0.003902611,0.002485026,0.002535958,0.403578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001638731,"about_ca_system_score_gemma":0.002230862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001473004,"about_ca_topic_score_gemma":0.001710693,"domain_scores_codex":[0.9985845,0.0001644796,0.0001250696,0.0002471529,0.0007718552,0.0001069569],"domain_scores_gemma":[0.993821,0.0008316716,0.0002293416,0.0005411135,0.003548019,0.001028847],"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":[0.00003032798,0.00001953323,0.000071143,0.0001336766,0.000002388551,0.00003700363,0.00005344145,0.00006202197,0.0001629688,0.00235336,0.9405496,0.05652445],"study_design_scores_gemma":[0.000003384807,0.00001615479,0.0001602266,0.00009303153,0.000001595502,0.00005932129,0.00004736371,0.0000269079,0.00006673278,0.00118403,0.998337,0.000004122479],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001465766,0.01672009,0.01061098,0.03225347,0.2417981,0.0007704304,0.01200664,0.002961403,0.6814131],"genre_scores_gemma":[0.005593008,0.01003351,0.00432011,0.006926178,0.04136057,0.0003692651,0.01276914,0.001481742,0.9171466],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5217071,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005276732640391513,"score_gpt":0.1824317712049465,"score_spread":0.177155038564555,"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."}}