{"id":"W4256373905","doi":"10.1088/1757-899x/707/1/011001","title":"Preface","year":2019,"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":"Mechatronics; Library science; Gratitude; Technical university; Engineering; Computer science; Electrical engineering; Psychology","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":[0.00160043,0.001246327,0.000981149,0.002800754,0.003166474,0.005421127,0.002005962,0.002049379,0.476866],"category_scores_gemma":[0.01149083,0.0004036766,0.0008153516,0.00249392,0.00104514,0.004265528,0.002914942,0.003654922,0.3454526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002370406,"about_ca_system_score_gemma":0.002925302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003012413,"about_ca_topic_score_gemma":0.003093041,"domain_scores_codex":[0.9982933,0.0002499826,0.0001423004,0.0003478508,0.0008057597,0.0001607439],"domain_scores_gemma":[0.9949963,0.0007839233,0.0002225397,0.0005267913,0.002738814,0.000731649],"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":[0.00003325154,0.00001890415,0.0001344535,0.0001489645,0.000003644658,0.00007312447,0.000149497,0.00008017438,0.0001281886,0.00665992,0.9476061,0.04496396],"study_design_scores_gemma":[0.000003319636,0.00001386966,0.0001673047,0.0001175041,0.000001664076,0.00008713494,0.0001124095,0.00002719902,0.00005496737,0.002277412,0.9971321,0.000005190399],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002055246,0.01862053,0.009809464,0.04033688,0.1475009,0.0006081009,0.01390758,0.002863116,0.7642983],"genre_scores_gemma":[0.0101253,0.01097922,0.004905087,0.0104577,0.0233055,0.0004199239,0.01497778,0.001451135,0.9233783],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.523134,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007692221979507903,"score_gpt":0.183066292219575,"score_spread":0.1753740702400671,"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."}}