{"id":"W2891192374","doi":"10.1177/0899764018797477","title":"Intraorganizational Conditions Supporting Social Innovations by Human Service Nonprofits","year":2018,"lang":"en","type":"article","venue":"Nonprofit and Voluntary Sector Quarterly","topic":"Nonprofit Sector and Volunteering","field":"Social Sciences","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Human services; Cohesion (chemistry); Transformative learning; Business; Social work; Public relations; Empirical research; Service (business); Group cohesiveness; Knowledge management; Sociology; Marketing; Psychology; Political science; Social psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003213516,0.0001927361,0.0002072423,0.001142785,0.003308981,0.003353366,0.0004609518,0.0005172559,0.003655737],"category_scores_gemma":[0.0186283,0.0001773197,0.0001928697,0.0007599823,0.003628356,0.0009914072,0.004305457,0.0008960929,0.00017556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00206303,"about_ca_system_score_gemma":0.007166004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005813364,"about_ca_topic_score_gemma":0.01422061,"domain_scores_codex":[0.9939883,0.003092157,0.0002128267,0.0003403781,0.0007196536,0.001646734],"domain_scores_gemma":[0.9604629,0.01197577,0.01437014,0.001841753,0.002381955,0.008967382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001431225,0.0008729529,0.9017504,0.0001137354,0.00004872731,0.0008830712,0.04390267,0.0003109272,0.002468648,0.005492982,0.001368881,0.04264399],"study_design_scores_gemma":[0.00001765091,0.0002500482,0.8797607,0.0001086115,0.00002362141,0.0002876936,0.109728,0.0003086478,0.0004963033,0.002347506,0.006645679,0.00002565516],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925251,0.00007021322,0.0002770989,0.0004029354,0.00001044805,0.0000315383,0.00002443027,0.000009150393,0.006649132],"genre_scores_gemma":[0.9996642,0.00003453791,0.00009287977,0.00003048277,0.000008416798,0.000009586176,0.00001501151,0.000001764501,0.0001430699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005813364,"threshold_uncertainty_score":0.01699489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02224554667702565,"score_gpt":0.3249434339163343,"score_spread":0.3026978872393087,"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."}}