{"id":"W7154103274","doi":"10.1145/3772318.3808988","title":"10.1145/3772318.3808988","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":false,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Generative grammar; Component (thermodynamics); Generative model","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":[0.001702623,0.003594403,0.002298737,0.002751922,0.002383385,0.004666465,0.002784911,0.004736158,0.9457262],"category_scores_gemma":[0.0026943,0.001831392,0.001298086,0.00826897,0.001510571,0.009246558,0.005454764,0.002645616,0.9631282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002290176,"about_ca_system_score_gemma":0.001124191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01613467,"about_ca_topic_score_gemma":0.01278688,"domain_scores_codex":[0.9993073,0.00004349326,0.00005880128,0.0002093067,0.0002259742,0.000155099],"domain_scores_gemma":[0.9985908,0.0002884353,0.00006508223,0.0004713395,0.000340198,0.0002441118],"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":[0.0002961282,0.0001918906,0.0005552687,0.0006236038,0.00004769502,0.0002551063,0.0001121196,0.0008873043,0.001911726,0.008277046,0.6404922,0.34635],"study_design_scores_gemma":[0.00004011289,0.00003541692,0.0007824712,0.0002561523,0.0000474222,0.0001573684,0.00008302909,0.0009839748,0.0006564606,0.001835758,0.9950825,0.00003938726],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002255549,0.004458259,0.01314226,0.001047568,0.001893718,0.0004369988,0.01152842,0.01651084,0.9487265],"genre_scores_gemma":[0.0037381,0.001976835,0.002100598,0.0006000266,0.0001152641,0.0001941875,0.006576555,0.00187754,0.9828207],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05427384,"threshold_uncertainty_score":0.07741499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002652237317596038,"score_gpt":0.1382867573862925,"score_spread":0.1356345200686965,"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."}}