{"id":"W7125952434","doi":"10.1145/3757377.3794987","title":"10.1145/3757377.3794987","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Generative grammar; Generative model; Component (thermodynamics); 3D modeling","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":[0.001440328,0.003249926,0.002164479,0.002608068,0.002119109,0.004122138,0.0025756,0.00428706,0.9193965],"category_scores_gemma":[0.002636532,0.001509563,0.001225968,0.007680921,0.001227852,0.008238038,0.004959863,0.002311578,0.948994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00210461,"about_ca_system_score_gemma":0.001084047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02372536,"about_ca_topic_score_gemma":0.01857384,"domain_scores_codex":[0.9993517,0.00004428019,0.00005721863,0.0001791821,0.0002417408,0.0001259329],"domain_scores_gemma":[0.9987337,0.0002495681,0.00005318457,0.0004458605,0.0003188154,0.0001987754],"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":[0.0002454113,0.0001348089,0.0004538625,0.0004724305,0.00003776016,0.0001744476,0.00008112774,0.0009955362,0.001574831,0.00604889,0.6229554,0.3668255],"study_design_scores_gemma":[0.0000269275,0.00002368479,0.0006077396,0.0001991203,0.00003882244,0.0001218076,0.00006453216,0.001191906,0.000531191,0.001521979,0.9956467,0.00002561088],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002180991,0.005425483,0.01843028,0.001079047,0.002049798,0.0003939224,0.01386712,0.01817578,0.9383975],"genre_scores_gemma":[0.003917397,0.002470538,0.002522532,0.0005091957,0.0001249528,0.0001600559,0.008227213,0.00205968,0.9800084],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08060348,"threshold_uncertainty_score":0.114971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003547271902577861,"score_gpt":0.1441621464840611,"score_spread":0.1406148745814833,"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."}}