{"id":"W7117254953","doi":"10.21083/caree.v1i1.8945","title":"Understanding How Canadian Producers Use Information Sources to Inform Their Adoption of Beneficial Management Practices","year":2025,"lang":"","type":"article","venue":"Canadian Agri-food & Rural Advisory Extension and Education Journal","topic":"Agricultural Innovations and Practices","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; Impact","funders":"","keywords":"Sustainability; Context (archaeology); Phone; Exploratory research; Plan (archaeology); Productivity; Best practice; Information management; Information needs","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":[0.004969563,0.0004165378,0.0002908416,0.003664903,0.00597023,0.007285611,0.00102816,0.0007584492,0.004536743],"category_scores_gemma":[0.01801936,0.0004209671,0.0003228653,0.006330335,0.002016461,0.00330558,0.002037805,0.0008727936,0.0003967261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04651542,"about_ca_system_score_gemma":0.07461691,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9834415,"about_ca_topic_score_gemma":0.9908569,"domain_scores_codex":[0.9960406,0.0009165297,0.0001539658,0.000420702,0.001746311,0.0007219298],"domain_scores_gemma":[0.9870588,0.004755847,0.001740142,0.0004249357,0.005022837,0.0009974117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000303716,0.0001349735,0.5267914,0.001307931,0.0001157465,0.001277557,0.2750331,0.001027534,0.004574874,0.00748119,0.01174643,0.1702055],"study_design_scores_gemma":[0.0000211625,0.00008094301,0.6372582,0.001031885,0.0001397778,0.0001930474,0.24771,0.001450889,0.001080587,0.001448886,0.1094082,0.0001765183],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8844138,0.003150623,0.002743786,0.01018471,0.00006055614,0.0003092697,0.003548827,0.00009349336,0.0954949],"genre_scores_gemma":[0.9851062,0.00339639,0.003264894,0.0005744059,0.00001115655,0.00005716361,0.0008819303,0.00002223283,0.006685653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04651542,"threshold_uncertainty_score":0.3374946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08730998121403005,"score_gpt":0.2623383843699252,"score_spread":0.1750284031558951,"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."}}