{"id":"W268760311","doi":"10.3138/jcs.35.4.203","title":"State, Society and the Third Sector: Changing to Meet New Challenges","year":2000,"lang":"en","type":"article","venue":"Journal of Canadian Studies","topic":"Community Development and Social Impact","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dissent; Government (linguistics); State (computer science); Order (exchange); Relation (database); Public administration; Political science; Sociology; Law and economics; Political economy; Economics; Law; Politics; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000826485,0.00007520578,0.0003166165,0.0002839076,0.0002775426,0.0000517887,0.0001296819,0.00002417017,0.00007285356],"category_scores_gemma":[0.00008189199,0.00005933155,0.00008991927,0.0002460644,0.00005222932,0.0001136333,0.00002403768,0.0001017856,0.00001243079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001417759,"about_ca_system_score_gemma":0.00009244386,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0148444,"about_ca_topic_score_gemma":0.1994634,"domain_scores_codex":[0.9994139,0.00001596613,0.0002692566,0.00005540527,0.00003109713,0.0002143377],"domain_scores_gemma":[0.999498,0.00008885602,0.0001144975,0.00007241392,0.00003827327,0.000188007],"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":[0.00006538447,0.00001466346,0.005938206,0.00003231969,0.001633419,0.00001420563,0.5719077,0.00004764598,7.063944e-7,0.05105456,0.2919416,0.07734957],"study_design_scores_gemma":[0.001162091,0.00008060865,0.03568343,0.00005963299,0.00001692741,0.00001568302,0.0262437,0.00001228019,0.000002583993,0.04551179,0.8909951,0.000216162],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7665296,0.09905384,0.000007345139,0.07420996,0.0003426617,0.0001337325,0.00001928783,0.000006091204,0.05969753],"genre_scores_gemma":[0.9100363,0.08300926,0.0002859166,0.002314775,0.0002667079,0.000001510662,1.437033e-7,0.00001022399,0.00407519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5990535,"threshold_uncertainty_score":0.9917158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1005361079914961,"score_gpt":0.2559517111780399,"score_spread":0.1554156031865437,"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."}}