{"id":"W1513372318","doi":"10.1111/j.1754-7121.2011.00192.x","title":"Patterns of Canadian departmental survival","year":2011,"lang":"en","type":"article","venue":"Canadian Public Administration","topic":"Nonprofit Sector and Volunteering","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public sector; Private sector; Political science; Government (linguistics); Public administration; Law","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":[0.001863068,0.0004241956,0.0003806587,0.007489454,0.005587233,0.002388142,0.002484562,0.0007484465,0.01191257],"category_scores_gemma":[0.01236889,0.0003471052,0.0005920742,0.01156975,0.001432919,0.0005779595,0.002612707,0.001075473,0.0009164753],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07386397,"about_ca_system_score_gemma":0.06801461,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9881926,"about_ca_topic_score_gemma":0.9930099,"domain_scores_codex":[0.995239,0.0002353356,0.0001601941,0.0005850203,0.001496064,0.002284427],"domain_scores_gemma":[0.9809379,0.0007176608,0.002107468,0.0006071171,0.01125948,0.004370405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004042888,0.00005935804,0.722733,0.0003689948,0.0001192046,0.0004678983,0.0246106,0.0005736719,0.001283113,0.01884074,0.09996396,0.1305752],"study_design_scores_gemma":[0.000009527202,0.00003083465,0.9256147,0.0001643409,0.00001865851,0.0001694612,0.01154799,0.0002176664,0.0002027799,0.0002816018,0.06168552,0.00005703513],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8587049,0.005655726,0.0007975092,0.01292764,0.0003252559,0.0001671999,0.02765595,0.0003162988,0.09344961],"genre_scores_gemma":[0.9671098,0.002998327,0.0005886905,0.0008594648,0.00004297449,0.00007891618,0.006027437,0.00006877719,0.02222557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.926136,"threshold_uncertainty_score":0.5359231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08650930352287932,"score_gpt":0.2858962020396485,"score_spread":0.1993868985167692,"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."}}