{"id":"W4411617979","doi":"10.51847/np45gyp9br","title":"10.51847/np45gyp9BR","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Architecture and Computational Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Genetic architecture; Architecture; Algorithm; Biology; Genetics; Quantitative trait locus; Geography","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":[0.0009372526,0.001455339,0.000940343,0.001778239,0.001427956,0.003417009,0.001717497,0.003588162,0.9064519],"category_scores_gemma":[0.001842435,0.0006825633,0.0007119454,0.002537356,0.001292122,0.00285154,0.00281581,0.001547101,0.9211748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001310427,"about_ca_system_score_gemma":0.001073941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004239334,"about_ca_topic_score_gemma":0.003528956,"domain_scores_codex":[0.9992831,0.00008789313,0.00005920391,0.0002345516,0.0002470981,0.00008812629],"domain_scores_gemma":[0.9987735,0.0003182801,0.00008228874,0.0003052468,0.0003488815,0.0001717981],"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":[0.0003794423,0.0002339404,0.001271601,0.0005024934,0.00003515216,0.0004655353,0.0001752055,0.00124443,0.006525127,0.01859551,0.1774633,0.7931083],"study_design_scores_gemma":[0.00004746875,0.00006200482,0.0008221968,0.0001795444,0.00001863874,0.0004607624,0.0001229545,0.001839525,0.001800816,0.004765533,0.9898587,0.00002188603],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003212984,0.001065855,0.01212492,0.001680109,0.001140383,0.000202515,0.00149905,0.002776268,0.9762979],"genre_scores_gemma":[0.008625668,0.0006559216,0.006340813,0.0005241911,0.0001376234,0.0001371569,0.001744315,0.0007013361,0.9811329],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09354806,"threshold_uncertainty_score":0.1334349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003423564771828105,"score_gpt":0.1485642584580112,"score_spread":0.1451406936861831,"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."}}