{"id":"W612161108","doi":"","title":"All tooled up","year":2013,"lang":"en","type":"article","venue":"Airports international","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Aeronautics; Transport engineering; Engineering; Business","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":[0.001151837,0.001573249,0.0006680147,0.001844771,0.003539892,0.006608118,0.001959891,0.002323406,0.6070569],"category_scores_gemma":[0.005836062,0.000718889,0.00139813,0.00111116,0.001531381,0.005433737,0.00644989,0.004225709,0.457423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001479879,"about_ca_system_score_gemma":0.002237321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007860562,"about_ca_topic_score_gemma":0.01538498,"domain_scores_codex":[0.9985135,0.0002103289,0.00005912747,0.000233299,0.0007194371,0.0002642772],"domain_scores_gemma":[0.9975655,0.0002488642,0.00005793376,0.0005650541,0.001061711,0.000500976],"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":[0.00004383541,0.00002653741,0.0001799586,0.00009480501,0.000004602679,0.0001987167,0.0003935017,0.00008118938,0.0007243484,0.01723795,0.8242328,0.1567817],"study_design_scores_gemma":[0.00000225317,0.00000589003,0.00008895373,0.00004396907,0.000001449669,0.00007909974,0.0001169837,0.00003291398,0.0001192595,0.001050679,0.9984528,0.00000584119],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007575345,0.001941796,0.02025788,0.01369562,0.01192456,0.0002093829,0.00144796,0.008307255,0.941458],"genre_scores_gemma":[0.003354459,0.0006358903,0.004630136,0.003356126,0.0006465174,0.00005691086,0.0006181807,0.001791463,0.9849104],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6070569,"threshold_uncertainty_score":0.5604857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009025200730991986,"score_gpt":0.2140303443376188,"score_spread":0.2050051436066268,"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."}}