{"id":"W4413763846","doi":"10.3390/agriculture15171820","title":"Computational, AI and IT Solutions Helping Agriculture","year":2025,"lang":"en","type":"article","venue":"Agriculture","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"NorQuest College","funders":"","keywords":"Agriculture; Computer science; Biotechnology; Biology; Ecology","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":[0.00381835,0.0009523397,0.0008686723,0.003040491,0.002264796,0.01233319,0.001108748,0.004101812,0.03420899],"category_scores_gemma":[0.009951121,0.0005006486,0.0007037903,0.003492562,0.002574312,0.009013182,0.003880062,0.006154777,0.01011634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002502418,"about_ca_system_score_gemma":0.005932354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001504767,"about_ca_topic_score_gemma":0.004704343,"domain_scores_codex":[0.9969293,0.0008348292,0.0002108359,0.000406258,0.001241951,0.00037684],"domain_scores_gemma":[0.9915856,0.003836593,0.0004979157,0.0005460095,0.002044896,0.001489015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001010144,0.00001390501,0.000167403,0.0002804543,0.000015746,0.00002571144,0.0001055788,0.0002045515,0.000286233,0.01764175,0.9262827,0.05496587],"study_design_scores_gemma":[0.000004794136,0.000006803244,0.0002844284,0.0002839865,0.000009673759,0.00004490509,0.0002563149,0.0003058516,0.0001554818,0.0160214,0.9826152,0.00001114958],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.001881568,0.1344995,0.01338582,0.4741517,0.2338965,0.00005872919,0.0006075565,0.001036645,0.140482],"genre_scores_gemma":[0.03775798,0.2557607,0.02695803,0.07801375,0.3232721,0.0001562488,0.00203217,0.001710858,0.2743382],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03420899,"threshold_uncertainty_score":0.1144404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01244480528516504,"score_gpt":0.2197521240449616,"score_spread":0.2073073187597966,"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."}}