{"id":"W4404734396","doi":"10.2139/ssrn.5035219","title":"Integration of Expert Knowledge with Data-Driven Insights to Develop an Interpretable Beekeeping Suitability Model","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Insect and Arachnid Ecology and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Beekeeping; Computer science; Data science; Knowledge integration; Knowledge management; Artificial intelligence; Domain knowledge; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001539285,0.000729578,0.0005332278,0.001373409,0.0002423044,0.001696387,0.001189452,0.001025452,0.004858307],"category_scores_gemma":[0.008180795,0.0003653954,0.000861107,0.0008074655,0.0004118216,0.001913604,0.0009663188,0.001007812,0.0008888575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008649197,"about_ca_system_score_gemma":0.0009405652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004848842,"about_ca_topic_score_gemma":0.006669942,"domain_scores_codex":[0.9994906,0.0001454071,0.0000444262,0.0001379607,0.0001457353,0.00003582658],"domain_scores_gemma":[0.9963188,0.002725154,0.0001810292,0.0002689681,0.0004373997,0.00006858819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009868445,0.0001423578,0.007252852,0.0002552297,0.000144862,0.0004401334,0.0003254695,0.8706964,0.003580241,0.02491185,0.002461128,0.08969077],"study_design_scores_gemma":[0.000006186148,0.00001798587,0.000577694,0.00002759803,0.0000209295,0.00004332957,0.00002964676,0.972337,0.000767633,0.02490116,0.001261149,0.000009724142],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03643019,0.0001021261,0.9543563,0.0005275461,0.00002589709,0.00008649948,0.001599436,0.0008325347,0.006039484],"genre_scores_gemma":[0.6753566,0.0002343117,0.3195784,0.0002221842,0.0000417835,0.0002332119,0.002100003,0.0001560281,0.002077442],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004858307,"threshold_uncertainty_score":0.0162527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0266944000544824,"score_gpt":0.3133061197347752,"score_spread":0.2866117196802928,"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."}}