{"id":"W6889026450","doi":"10.25384/sage.c.6151275.v1","title":"Broad versus narrow organizational scope among nonprofits: The moderating effects of the task environment","year":2022,"lang":"en","type":"other","venue":"Sage Journals Data","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dynamism; Scope (computer science); Scarcity; Task (project management); Value (mathematics); Qualitative research","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":[0.01572339,0.0004515944,0.0006042157,0.001203947,0.002230203,0.003312654,0.001329333,0.0007887678,0.005177605],"category_scores_gemma":[0.03979043,0.0003522673,0.0007011854,0.001184003,0.002620851,0.001781123,0.00358881,0.00125017,0.0002679517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002287435,"about_ca_system_score_gemma":0.004585444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01240261,"about_ca_topic_score_gemma":0.0191709,"domain_scores_codex":[0.9798021,0.01286565,0.0008605343,0.002031011,0.002708432,0.001732418],"domain_scores_gemma":[0.946247,0.04097688,0.006505501,0.002578174,0.001775415,0.001916989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002545132,0.005035309,0.8231779,0.0009091086,0.0005137992,0.0003776347,0.08739707,0.0009583437,0.005298516,0.01588681,0.000898407,0.05700197],"study_design_scores_gemma":[0.0002556842,0.004262686,0.9229113,0.0002974476,0.0004033841,0.0001042542,0.04926709,0.002911212,0.003760982,0.009436282,0.006310323,0.00007938098],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914522,0.0001723964,0.003311424,0.0002465197,0.00001851456,0.000735683,0.000209939,0.00001211407,0.003841232],"genre_scores_gemma":[0.9921124,0.00006014802,0.00408858,0.0001749927,0.00001643123,0.002665147,0.0001045725,0.00001121274,0.0007664724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01572339,"threshold_uncertainty_score":0.08315426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02176201869057075,"score_gpt":0.2618928573048401,"score_spread":0.2401308386142694,"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."}}