{"id":"W2485908565","doi":"10.1111/spol.12235","title":"<i>Networking Enforced</i>–<i>Comparing Social Services</i>'<i>Collaborative Rationales across Different Welfare Regimes</i>","year":2016,"lang":"en","type":"article","venue":"Social Policy and Administration","topic":"Healthcare innovation and challenges","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Realm; Normative; Welfare; Business; Service (business); Social Welfare; Public relations; Political science; Marketing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.02570929,0.0002500792,0.000455779,0.002425822,0.009531431,0.01227041,0.001903337,0.001841376,0.005264297],"category_scores_gemma":[0.02934258,0.0002774169,0.0004998375,0.002396848,0.0245231,0.00449003,0.00645402,0.002758914,0.0002831705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05093416,"about_ca_system_score_gemma":0.04121217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4017798,"about_ca_topic_score_gemma":0.4602498,"domain_scores_codex":[0.9711042,0.01530907,0.001327315,0.001985711,0.00623732,0.004036391],"domain_scores_gemma":[0.9786604,0.00865512,0.003617671,0.002268419,0.004860419,0.001937959],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001065068,0.0001144389,0.02861873,0.0002044777,0.00004575184,0.0002663648,0.1069556,0.001543426,0.000938412,0.827046,0.004779221,0.02938097],"study_design_scores_gemma":[0.0001057815,0.0002625879,0.2139859,0.002594518,0.0001296506,0.000252274,0.4773698,0.003791942,0.003005455,0.08497474,0.2132546,0.0002726868],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5703095,0.0009147647,0.0143959,0.01608663,0.0002035068,0.0005454322,0.0006204684,0.00006831688,0.3968554],"genre_scores_gemma":[0.9950165,0.0001278505,0.001356628,0.0005195743,0.000008761427,0.0001260924,0.00009171627,0.00001620416,0.002736677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4017798,"threshold_uncertainty_score":0.7988824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05021255007173641,"score_gpt":0.3906353910804734,"score_spread":0.340422841008737,"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."}}