{"id":"W7024166041","doi":"","title":"Public CoLab 2023. Embracing Belfast's riverfront as public space","year":2023,"lang":"en","type":"other","venue":"Research Portal (Queen's University Belfast)","topic":"Topic Modeling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Queen's University","keywords":"Public space; Space (punctuation); Government (linguistics); Key (lock)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001982542,0.0006428993,0.0004068581,0.0009925219,0.003498413,0.01054385,0.001739785,0.004227645,0.7120311],"category_scores_gemma":[0.005113278,0.0007032244,0.0006888995,0.002656568,0.001367784,0.005999357,0.004772737,0.002006363,0.4253023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00892325,"about_ca_system_score_gemma":0.008760775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2722068,"about_ca_topic_score_gemma":0.5096482,"domain_scores_codex":[0.9990714,0.0001489359,0.00002184653,0.0001061103,0.0003659521,0.0002857427],"domain_scores_gemma":[0.9961053,0.000594506,0.0001157022,0.0003980671,0.0008385978,0.001947953],"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":[0.00002683334,0.000008247544,0.00007906713,0.00005611031,8.676001e-7,0.00002096657,0.0001439902,0.00003754211,0.00006543303,0.0046711,0.982866,0.01202378],"study_design_scores_gemma":[0.000003815545,0.000003762026,0.0001911893,0.00001990619,4.866458e-7,0.000004464254,0.0001797895,0.00003119848,0.00002482833,0.000372449,0.9991651,0.000003047363],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001059354,0.0009263091,0.002960622,0.01559207,0.002300398,0.0002033934,0.02991783,0.004371481,0.9426686],"genre_scores_gemma":[0.003960991,0.0002991443,0.0009875224,0.0009621322,0.0001132319,0.00008171664,0.004901759,0.001634627,0.9870588],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7120311,"threshold_uncertainty_score":0.5412447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04917069813045644,"score_gpt":0.2827610764326678,"score_spread":0.2335903783022114,"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."}}