{"id":"W6942344500","doi":"10.14456/itjemast.2023.9","title":"Analysis of Space Syntax Theory in Studio Bell in Canada","year":2023,"lang":"en","type":"article","venue":"NRCT Data Center","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Space (punctuation); Studio; Syntax; Semantics (computer science); Perspective (graphical)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001272066,0.0003941495,0.0006486987,0.001861698,0.003763296,0.003783056,0.001646431,0.0005069961,0.02099817],"category_scores_gemma":[0.008305726,0.0004379308,0.000756319,0.004008155,0.001967388,0.002713302,0.001560083,0.001087956,0.001327391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02424214,"about_ca_system_score_gemma":0.02408993,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.958699,"about_ca_topic_score_gemma":0.9597831,"domain_scores_codex":[0.9987704,0.0002095355,0.00004036004,0.0001572245,0.0004521475,0.0003702955],"domain_scores_gemma":[0.9968928,0.000993891,0.000107981,0.0003346611,0.001515608,0.0001550315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002527989,0.00004655378,0.01173439,0.00009279229,0.00004058309,0.0001715788,0.002162698,0.04474505,0.0006671011,0.8508794,0.02747053,0.06173655],"study_design_scores_gemma":[0.00007802853,0.00003825753,0.02202147,0.0001711899,0.00009502427,0.00009945701,0.005576637,0.392998,0.002507646,0.4681376,0.1081579,0.0001188581],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5164322,0.001653318,0.1565074,0.004946508,0.0001095628,0.0001994456,0.01258987,0.003492159,0.3040695],"genre_scores_gemma":[0.9300014,0.0003630582,0.03853255,0.0001123694,0.00001627182,0.0000539873,0.003857302,0.0005688688,0.0264941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04130095,"threshold_uncertainty_score":0.1758898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02621722999149674,"score_gpt":0.2336231451530256,"score_spread":0.2074059151615289,"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."}}