{"id":"W2328158753","doi":"10.3130/aijt.18.553","title":"A DESIGN APPLICATION OF MID-FLOOR LEVELED COLUMN BASE SYSTEM","year":2012,"lang":"en","type":"article","venue":"AIJ Journal of Technology and Design","topic":"Structural Load-Bearing Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hatch (Canada)","funders":"","keywords":"Column (typography); Base (topology); Structural engineering; Geology; Geotechnical engineering; Engineering; Mathematics; Connection (principal bundle)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000579525,0.0002883419,0.0001662561,0.0002234539,0.0001769676,0.0003423585,0.0004868305,0.0002813157,0.005161866],"category_scores_gemma":[0.00009747269,0.0001242876,0.0001553629,0.000132558,0.0001229895,0.0001588961,0.0002809239,0.0001579505,0.0008187906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001709587,"about_ca_system_score_gemma":0.0003080924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002139743,"about_ca_topic_score_gemma":0.00296383,"domain_scores_codex":[0.9999,0.00001344042,0.000003042955,0.00001643958,0.00004574894,0.00002123755],"domain_scores_gemma":[0.9999174,0.000004060616,0.000007413224,0.00001048314,0.00004340836,0.00001725978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000339964,0.0001218891,0.005816726,0.0003311968,0.00007861117,0.001212589,0.0002946417,0.1348453,0.6239663,0.00767606,0.005506057,0.2198108],"study_design_scores_gemma":[0.0001890671,0.002501368,0.02113635,0.00009527094,0.0001584038,0.002220055,0.0004059687,0.675745,0.2148004,0.002402188,0.08022412,0.000121835],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3526638,0.0004483618,0.6148011,0.0001876621,0.0001327008,0.0001600427,0.0002737795,0.00208411,0.02924849],"genre_scores_gemma":[0.9411533,0.000130405,0.05209011,0.00005383707,0.00001646579,0.00004700184,0.0001587426,0.00003330223,0.006316715],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005161866,"threshold_uncertainty_score":0.01726812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0143497140190378,"score_gpt":0.2087523095349028,"score_spread":0.194402595515865,"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."}}