{"id":"W7036519852","doi":"","title":"Beyond Bricks and Books: Exploring the Quality of Campus Open Spaces","year":2024,"lang":"en","type":"other","venue":"QSpace (Queen's University Library)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Likert scale; Variety (cybernetics); University campus; Space (punctuation); Public open space; Built environment; Scale (ratio)","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":[0.007602023,0.0002426637,0.0003798418,0.002383127,0.00354076,0.01004787,0.000939934,0.0005216129,0.003675937],"category_scores_gemma":[0.01645674,0.0002179807,0.0004149748,0.002754108,0.00610278,0.005493913,0.0047868,0.0009215052,0.0002765378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008239557,"about_ca_system_score_gemma":0.004386772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03802245,"about_ca_topic_score_gemma":0.129402,"domain_scores_codex":[0.9930944,0.003714552,0.00024363,0.0002331348,0.0020706,0.0006437273],"domain_scores_gemma":[0.9865165,0.006546969,0.00184507,0.0006673493,0.003234479,0.001189609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002087442,0.0002107658,0.1800517,0.0009030182,0.0000915417,0.0006108979,0.6393032,0.0009369585,0.001183764,0.01639208,0.00717657,0.1529308],"study_design_scores_gemma":[0.000008051526,0.0002982581,0.1475805,0.0004781767,0.00003693641,0.00009696302,0.8109202,0.0005971477,0.0007627431,0.002767463,0.03640298,0.00005049919],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9595769,0.0007728604,0.002295481,0.001502735,0.0000443544,0.0001810304,0.0002047415,0.00002431898,0.03539756],"genre_scores_gemma":[0.9956095,0.0004314242,0.001529979,0.0000884503,0.000009701111,0.00006840615,0.00007055868,0.00001283009,0.002179247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03802245,"threshold_uncertainty_score":0.07560229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02602895110754087,"score_gpt":0.2384506174148128,"score_spread":0.2124216663072719,"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."}}