{"id":"W4411656494","doi":"10.51847/7ey5fq0xs7","title":"10.51847/7ey5fQ0XS7","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Engineering Applied Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Material selection; Energy (signal processing); Computer science; Engineering; Structural engineering; Materials science; Forensic engineering; Composite material; Mathematics; Artificial intelligence; Statistics","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":[0.0007577625,0.001191879,0.000780627,0.002146026,0.001016986,0.002301345,0.001212939,0.00366316,0.9397146],"category_scores_gemma":[0.0008886851,0.0003864747,0.0007280515,0.001651249,0.0007476214,0.001404011,0.001839442,0.001094273,0.9243329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008502411,"about_ca_system_score_gemma":0.0004317809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002944023,"about_ca_topic_score_gemma":0.001848481,"domain_scores_codex":[0.9995573,0.00004169565,0.00003302268,0.0001114495,0.0001761355,0.00008034839],"domain_scores_gemma":[0.9992837,0.0001316584,0.00003850032,0.0001180949,0.0003212664,0.0001067292],"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":[0.0003404926,0.0002011794,0.0009717119,0.0005167837,0.00003187442,0.0004483121,0.0001015054,0.001076564,0.01479804,0.007449866,0.189047,0.7850167],"study_design_scores_gemma":[0.0000375177,0.0000894389,0.0009248191,0.0001872921,0.00001371526,0.0003732757,0.00008487171,0.001558297,0.00332016,0.00128581,0.9920977,0.00002693712],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003753911,0.000948455,0.01047685,0.000760902,0.001140863,0.0002548768,0.001266463,0.00334455,0.978053],"genre_scores_gemma":[0.007973216,0.0003505294,0.00368615,0.0002602269,0.00009375059,0.00008109979,0.0009106358,0.0003942764,0.9862502],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06028545,"threshold_uncertainty_score":0.08598977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004520451926917552,"score_gpt":0.1713870901829926,"score_spread":0.166866638256075,"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."}}