{"id":"W2185881335","doi":"","title":"Social Innovation in Canada How the non-profit sector serves Canadians ... and how it can serve them better","year":2004,"lang":"en","type":"article","venue":"","topic":"Community Development and Social Impact","field":"Economics, Econometrics and Finance","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Business; Marketing; Public relations; Public economics; Industrial organization; Economics; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002669508,0.0001125636,0.0001931882,0.0001058005,0.0002573526,0.0001609327,0.0001779244,0.00005976813,0.0001220915],"category_scores_gemma":[0.00004210355,0.0001053072,0.00002157916,0.0004953938,0.00003119282,0.0001624024,0.00005509692,0.0001928076,0.000003861169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009927916,"about_ca_system_score_gemma":0.000622193,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9872821,"about_ca_topic_score_gemma":0.9994058,"domain_scores_codex":[0.9993734,0.00001307264,0.0001826451,0.0001313544,0.00003656449,0.0002629872],"domain_scores_gemma":[0.9996612,0.00003209248,0.0001147162,0.0001198945,0.0000311468,0.00004093178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002884588,0.000007051068,0.9405103,0.00001475665,0.00004360886,0.000004790671,0.01079382,0.000004819443,0.000007369786,0.0375988,0.009734132,0.001277686],"study_design_scores_gemma":[0.0004663667,0.000007954781,0.9771727,0.00000588956,0.000001808828,0.000001085995,0.005699886,0.0000456775,0.00004278442,0.01097407,0.005353277,0.0002284495],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8207512,0.00001111123,0.00001559028,0.1723264,0.00008743203,0.0001280167,0.00005116591,0.000005660368,0.006623409],"genre_scores_gemma":[0.9937086,0.00001250661,0.0000619498,0.004621818,0.00007320815,0.00001137564,0.00002867647,0.0000123475,0.001469586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1729573,"threshold_uncertainty_score":0.4294303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06272649625417792,"score_gpt":0.2121141268396284,"score_spread":0.1493876305854504,"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."}}