{"id":"W4407276275","doi":"10.70266/9783886177271","title":"10.70266/9783886177271","year":2000,"lang":"en","type":"book","venue":"Time to knit","topic":"Flexible and Reconfigurable Manufacturing Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004232418,0.001679922,0.0008383468,0.001815644,0.001239837,0.005108257,0.001625029,0.002634767,0.9509584],"category_scores_gemma":[0.00143035,0.0007086033,0.0006208163,0.002670443,0.0007268657,0.004142861,0.002343446,0.001716653,0.9607194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007506898,"about_ca_system_score_gemma":0.0007896801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002669156,"about_ca_topic_score_gemma":0.004064304,"domain_scores_codex":[0.9996013,0.00003332552,0.00002259158,0.000122367,0.0001706388,0.00004979586],"domain_scores_gemma":[0.9989424,0.0002566564,0.00005216897,0.0001784251,0.0003062628,0.00026408],"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":[0.00005507163,0.00006049653,0.0001542975,0.0002551533,0.00000682174,0.00008008596,0.00006973501,0.0001313474,0.001144511,0.004084236,0.732189,0.2617692],"study_design_scores_gemma":[0.000008962469,0.00001539062,0.0002619373,0.00009990756,0.000002989167,0.00008692462,0.00003719037,0.00007125888,0.0001439107,0.0004353047,0.99883,0.000006208512],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001588997,0.0005162008,0.000573134,0.0002609137,0.0003100075,0.00004586141,0.0005535814,0.0008643059,0.996717],"genre_scores_gemma":[0.0003582873,0.0002845467,0.0001801002,0.0001330354,0.00005360704,0.00002031531,0.0003164697,0.0001910331,0.9984627],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04904163,"threshold_uncertainty_score":0.06995183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00465001957092843,"score_gpt":0.1458520561018777,"score_spread":0.1412020365309493,"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."}}