{"id":"W3152523654","doi":"10.1093/heapro/daab051","title":"Typology of actors’ influence strategies in intersectoral governance process in Montreal, Canada","year":2021,"lang":"en","type":"article","venue":"Health Promotion International","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal","funders":"Canadian Institutes of Health Research","keywords":"Typology; Corporate governance; Thematic analysis; Process (computing); Public relations; Political science; Business; Sociology; Qualitative research; Social science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003793538,0.00006106542,0.0001417431,0.00003341209,0.00006569244,0.00002463229,0.000240516,0.00005182342,0.0003313023],"category_scores_gemma":[0.0003537445,0.00006648431,0.00001831763,0.0004257939,0.00012271,0.0003801835,0.00002441301,0.0001331984,0.000001571408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007934211,"about_ca_system_score_gemma":0.005307554,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9640325,"about_ca_topic_score_gemma":0.998867,"domain_scores_codex":[0.9985678,0.0001623328,0.0003318104,0.0001944589,0.0004908052,0.0002528568],"domain_scores_gemma":[0.9993688,0.00005634552,0.000265107,0.00005850969,0.000190394,0.00006084868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000272292,0.0002936889,0.8734429,0.00006842477,0.000007478767,0.00003321677,0.03028061,0.0009895922,0.00005698613,0.08899248,0.001863067,0.003944299],"study_design_scores_gemma":[0.0002470874,0.00003293868,0.9778453,0.0001262379,3.603736e-7,9.064357e-7,0.01566194,0.00008827469,0.00004117504,0.003553747,0.00233097,0.00007104658],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.974372,0.00009882401,0.00001749099,0.01764166,0.0006959481,0.0001174274,0.00002561915,0.000006685364,0.007024327],"genre_scores_gemma":[0.9991363,0.0001932845,0.00003121643,0.0002454157,0.00007389019,0.00001649305,0.000005282679,0.000002720066,0.0002953711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1044024,"threshold_uncertainty_score":0.9415372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03150335583390425,"score_gpt":0.3841834362290587,"score_spread":0.3526800803951544,"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."}}