{"id":"W7043834003","doi":"","title":"Toward Common Ground: Snapshot of Social &amp; Health Wellbeing","year":2017,"lang":"en","type":"other","venue":"The Atrium (University of Guelph)","topic":"Indigenous Health, Education, and Rights","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Downtown; Snapshot (computer storage); Scholarship; Placemaking; Public health; Well-being","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":[0.002676246,0.000434352,0.000373201,0.002433478,0.01200433,0.007953552,0.001128328,0.001374687,0.02223962],"category_scores_gemma":[0.002185934,0.0003605321,0.000377391,0.00304258,0.003798932,0.00579584,0.01416729,0.003616641,0.002448435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01223173,"about_ca_system_score_gemma":0.02175763,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4100144,"about_ca_topic_score_gemma":0.7388935,"domain_scores_codex":[0.9982469,0.0004796032,0.00003996227,0.0001362837,0.0004116557,0.0006856595],"domain_scores_gemma":[0.9964582,0.0001832575,0.0001318961,0.0002346851,0.0008421502,0.002149745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001631221,0.0001424481,0.02595318,0.0007627077,0.00006119371,0.001321824,0.3648586,0.0001488464,0.001384428,0.02996497,0.367753,0.2074857],"study_design_scores_gemma":[0.00000687568,0.00004874744,0.05866829,0.0004757842,0.0000150445,0.0002305983,0.2571175,0.00003764874,0.0003142243,0.002484399,0.6805582,0.00004272227],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2810207,0.007379759,0.002678505,0.08432,0.002269017,0.0005015437,0.01364212,0.0008440879,0.6073442],"genre_scores_gemma":[0.7977012,0.007270102,0.005016387,0.01090027,0.0005127011,0.0004701928,0.007475104,0.0005562375,0.1700979],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5899856,"threshold_uncertainty_score":0.8152558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03668360576606798,"score_gpt":0.2970365698461669,"score_spread":0.2603529640800989,"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."}}