{"id":"W4236462201","doi":"10.21535/ijrm.v4i1.967","title":"Editorial Notes: Special Issue in Advanced Machining Technologies","year":2017,"lang":"en","type":"editorial","venue":"International Journal of Robotics and Mechatronics","topic":"Advanced Machining and Optimization Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Machining; Mechanical engineering; Engineering; Aerospace; Manufacturing engineering; Automotive industry; Aerospace 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":[0.00326656,0.002955207,0.002101251,0.002954014,0.002569437,0.00842623,0.002498486,0.006062359,0.07807142],"category_scores_gemma":[0.01088705,0.0007125469,0.001822846,0.00150622,0.001103369,0.004528026,0.001547957,0.006488055,0.04485825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001712651,"about_ca_system_score_gemma":0.002531312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006475686,"about_ca_topic_score_gemma":0.001161097,"domain_scores_codex":[0.9963666,0.0003290031,0.0004224787,0.000595988,0.001940832,0.0003450449],"domain_scores_gemma":[0.9849612,0.002425989,0.0008424131,0.0006277788,0.008003381,0.003139195],"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":[0.00003913511,0.00002251345,0.00004848028,0.000244072,0.000006657427,0.00006268354,0.00001500439,0.00002845229,0.0002590886,0.0003265151,0.9870059,0.01194144],"study_design_scores_gemma":[0.00001856519,0.00004461617,0.0002928899,0.0001621855,0.00001192096,0.000132942,0.0000400426,0.00008758905,0.000259026,0.0004621311,0.9984781,0.000009987651],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00009215059,0.002696515,0.0001672736,0.01017416,0.9818891,0.00002207084,0.00007992663,0.00007727438,0.004801632],"genre_scores_gemma":[0.0008286226,0.003753293,0.0001696252,0.004184019,0.9625668,0.000023053,0.0001169418,0.0001206613,0.02823697],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.07807142,"threshold_uncertainty_score":0.2611749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0050017518471947,"score_gpt":0.2716018027411465,"score_spread":0.2666000508939518,"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."}}