{"id":"W7070757804","doi":"","title":"Platform Placemaking Machines: Neighbourhood Place-Branding in Kingston Ontario","year":2022,"lang":"en","type":"dissertation","venue":"QSpace (Queen's University Library)","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Frugality; Filter (signal processing); Paraphernalia; Placemaking; Casual; Government (linguistics)","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":[0.0006422306,0.0002108885,0.0003433083,0.0007094932,0.02005015,0.004013473,0.001619313,0.001082179,0.007567215],"category_scores_gemma":[0.001958582,0.0003726187,0.0002514513,0.002092338,0.006944348,0.001176089,0.003321285,0.0008277115,0.0007756219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04318044,"about_ca_system_score_gemma":0.03178643,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9575488,"about_ca_topic_score_gemma":0.9932853,"domain_scores_codex":[0.9989786,0.0002440732,0.00002580095,0.0001671839,0.0002926421,0.0002916722],"domain_scores_gemma":[0.9978732,0.0004969069,0.0001472483,0.000240759,0.000534328,0.0007075348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000297429,0.0002047589,0.05736322,0.0003093737,0.00003041496,0.005891901,0.8555295,0.0006145899,0.00247144,0.01795685,0.01291324,0.04641738],"study_design_scores_gemma":[0.00001995758,0.0001162396,0.09140621,0.0001115269,0.00002726372,0.0003848445,0.7287861,0.0007090799,0.0008316432,0.001561623,0.1759738,0.00007173763],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9332659,0.0004083918,0.0008073888,0.002077021,0.00005799948,0.000133993,0.0003232062,0.0000500927,0.0628761],"genre_scores_gemma":[0.9535179,0.0003087568,0.001046638,0.0002826613,0.000007759348,0.00005571375,0.0001028598,0.00003622525,0.04464147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04318044,"threshold_uncertainty_score":0.3132975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009272862003233191,"score_gpt":0.2152513687847185,"score_spread":0.2059785067814854,"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."}}