{"id":"W4406671102","doi":"10.1016/b978-0-08-052304-0.50017-6","title":"10.1016/b978-0-08-052304-0.50017-6","year":2000,"lang":"en","type":"book-chapter","venue":"Time to knit","topic":"Physics and Engineering Research Articles","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Powertrain; Computer science; Physics","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":[0.0009353604,0.001839294,0.001417721,0.001754887,0.001365079,0.005412721,0.002595529,0.003836399,0.9793706],"category_scores_gemma":[0.001619833,0.0008159854,0.0009154707,0.001989016,0.001282348,0.004860544,0.002784761,0.00222083,0.990891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008825391,"about_ca_system_score_gemma":0.0008143728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002337547,"about_ca_topic_score_gemma":0.002196294,"domain_scores_codex":[0.9995727,0.00002399482,0.00002614842,0.0001465382,0.0001547424,0.00007594577],"domain_scores_gemma":[0.998162,0.000545884,0.0001318279,0.0002804052,0.0003607894,0.0005191583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001550665,0.0001093372,0.0004590409,0.0004252643,0.00002255594,0.0001382887,0.00009581536,0.0003542938,0.003261697,0.008231578,0.3723627,0.6143845],"study_design_scores_gemma":[0.00001687594,0.0000430941,0.0004887042,0.000196529,0.000007716178,0.0002129409,0.00007403911,0.0001107791,0.0003427261,0.001069011,0.9974252,0.00001243725],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002186254,0.0003870041,0.0009719684,0.0003213715,0.0001755882,0.00004222231,0.0007133433,0.00105367,0.9961162],"genre_scores_gemma":[0.0005971007,0.0002416415,0.0003528437,0.0001149976,0.00003896405,0.00002813228,0.0004010232,0.0002848245,0.9979404],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02062941,"threshold_uncertainty_score":0.02942526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007522783305546028,"score_gpt":0.1632932280953599,"score_spread":0.1557704447898138,"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."}}