{"id":"W2784858432","doi":"","title":"Advancements in Nailed Connections","year":2001,"lang":"en","type":"dissertation","venue":"TSpace (University of Toronto)","topic":"Engineering Structural Analysis Methods","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto","keywords":"Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001658293,0.0006477642,0.0003376361,0.001228729,0.000551646,0.00141908,0.001442748,0.0008502286,0.01443302],"category_scores_gemma":[0.003021736,0.0005869505,0.0004601576,0.001498813,0.0008434187,0.00230094,0.001330898,0.001071698,0.003069856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009048829,"about_ca_system_score_gemma":0.001008503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001612081,"about_ca_topic_score_gemma":0.004285859,"domain_scores_codex":[0.9977871,0.0003080804,0.0001563798,0.0004414618,0.00121585,0.00009107091],"domain_scores_gemma":[0.9980944,0.0004287124,0.0001697229,0.0004043109,0.0007760462,0.0001268942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009113355,0.0001694585,0.003271738,0.001021408,0.00003055836,0.0002747744,0.0007963142,0.0105926,0.04392594,0.06463519,0.003792549,0.8713983],"study_design_scores_gemma":[0.00005184181,0.001357182,0.009318397,0.0009270541,0.00008159153,0.003764576,0.0008695439,0.03262516,0.0721955,0.03141167,0.8472406,0.0001570327],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1721605,0.05071078,0.5781461,0.002204783,0.001873685,0.0003665915,0.0003464278,0.002499468,0.1916918],"genre_scores_gemma":[0.4492915,0.04202298,0.3889014,0.0004362075,0.0004413034,0.0001933533,0.0003986924,0.0003851779,0.1179293],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01443302,"threshold_uncertainty_score":0.04828328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008673901172946882,"score_gpt":0.2528652059412683,"score_spread":0.2441913047683214,"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."}}