{"id":"W4238960449","doi":"10.22230/anserj.2020v11n1a373","title":"Post Covid-19 Agenda for Nonprofit & Social Economy Research","year":2020,"lang":"en","type":"article","venue":"Canadian journal of nonprofit and social economy research","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Public relations; Value (mathematics); Nonprofit organization; 2019-20 coronavirus outbreak; Social needs; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Economic growth; Social economy; Political science; Nonprofit sector; Business; Economics; Medicine; Health care","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.0107001,0.0001887342,0.0005146202,0.0004014488,0.008290739,0.001049047,0.001201063,0.0003773376,0.0009607579],"category_scores_gemma":[0.003050233,0.0002026296,0.0002867602,0.0009750038,0.003135028,0.0007757243,0.00009664963,0.00117741,0.00008222563],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001526142,"about_ca_system_score_gemma":0.02353598,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1272643,"about_ca_topic_score_gemma":0.4122682,"domain_scores_codex":[0.9954961,0.0009539465,0.0006046889,0.0004879712,0.0006986146,0.001758689],"domain_scores_gemma":[0.9939601,0.001034901,0.0002988073,0.0001091744,0.001999217,0.002597756],"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":[0.0002328068,0.00002876449,0.01402982,0.0001761321,0.0001123444,0.00007706493,0.2075537,0.000002258877,0.00005042847,0.2072169,0.5593888,0.01113093],"study_design_scores_gemma":[0.0006778372,0.0002144103,0.001452301,0.000009267079,0.00001012455,0.000003092071,0.05870614,0.000008644386,0.000008540194,0.02011914,0.918565,0.0002254736],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2472516,0.001319435,0.0001420512,0.6080588,0.0005188127,0.001780932,0.0002284,0.00002715468,0.1406729],"genre_scores_gemma":[0.9831885,0.0000848297,0.0001578511,0.005359944,0.006739345,0.00006250317,0.00001067635,0.00003470548,0.004361684],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7359369,"threshold_uncertainty_score":0.999988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4025492634578703,"score_gpt":0.4801507994930548,"score_spread":0.07760153603518449,"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."}}