{"id":"W4417347116","doi":"10.21083/caree.v1i1.8920","title":"The Quebec Model of Agricultural Extension: A Publicly Led and Regionally Driven Approach through the Programme services-conseils","year":2025,"lang":"","type":"article","venue":"Canadian Agri-food & Rural Advisory Extension and Education Journal","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Réseau Technoscience","funders":"","keywords":"Subsidy; Government (linguistics); Service (business); Service delivery framework; Agriculture; Resilience (materials science); Product (mathematics); Investment (military)","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001530248,0.0003823636,0.0004348039,0.000117525,0.006714642,0.001449241,0.0008504383,0.0002632581,0.00003158471],"category_scores_gemma":[0.0004616092,0.000207434,0.0002373336,0.001206142,0.00175634,0.001027792,0.0001179535,0.0008089964,0.000002849339],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004367916,"about_ca_system_score_gemma":0.01156347,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3066708,"about_ca_topic_score_gemma":0.623094,"domain_scores_codex":[0.9963222,0.000612168,0.0007842699,0.0005344411,0.0007399952,0.001006985],"domain_scores_gemma":[0.9961189,0.0003001544,0.0007812904,0.0003502237,0.001308438,0.001140997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002143969,0.0005731999,0.004830907,0.0002310334,0.0004911298,0.000004756826,0.1372334,0.0007676298,0.0007470335,0.3176403,0.1994837,0.3377824],"study_design_scores_gemma":[0.0006948838,0.0001954973,0.3843781,0.0006280181,0.0002022611,0.0001689569,0.5043263,0.002839627,0.000005366388,0.02489749,0.08109941,0.0005639991],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7609153,0.01688228,0.00004493525,0.2124381,0.002121971,0.000956982,0.00002175313,0.00001746935,0.006601155],"genre_scores_gemma":[0.9754677,0.005956158,0.0002809507,0.005314704,0.0005742615,0.00003778231,0.000008443261,0.00001158078,0.01234835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3795472,"threshold_uncertainty_score":0.9995874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02602811591023991,"score_gpt":0.2619512517313942,"score_spread":0.2359231358211543,"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."}}