{"id":"W7117727858","doi":"10.5220/0013897100004919","title":"AI-Driven Platform for Crop Optimization, Weather Forecasting and Agricultural Innovation","year":2025,"lang":"","type":"article","venue":"","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Agriculture; Crop; Weather forecasting; Agricultural productivity; Crop production","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":[0.0005438915,0.0005291894,0.0003997914,0.0004657231,0.0003825695,0.00134291,0.001445381,0.0009289716,0.009927126],"category_scores_gemma":[0.001850283,0.0002370741,0.0005896189,0.0004194402,0.0004520059,0.001200535,0.001566244,0.001261122,0.002689154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004921064,"about_ca_system_score_gemma":0.0009677477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002846761,"about_ca_topic_score_gemma":0.003216842,"domain_scores_codex":[0.9997082,0.00005309435,0.00001742941,0.00007403708,0.000106446,0.00004079629],"domain_scores_gemma":[0.9993574,0.0002309758,0.0000516665,0.0001310736,0.0001381903,0.00009067874],"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":[0.001049528,0.0008892675,0.006689567,0.0009383808,0.0003184792,0.0008811448,0.0004580101,0.4676288,0.06706507,0.1217335,0.0467978,0.2855505],"study_design_scores_gemma":[0.00005436377,0.00008033901,0.0005858435,0.00002606219,0.00002534371,0.00006698756,0.00004220157,0.9219993,0.01012214,0.04570511,0.02126763,0.00002476432],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05294054,0.0005916159,0.8790828,0.001441639,0.000720336,0.0004669754,0.002515016,0.02545181,0.03678926],"genre_scores_gemma":[0.6709624,0.000598244,0.3015301,0.0006035143,0.0001500707,0.0007669469,0.004475837,0.0006485238,0.02026434],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009927126,"threshold_uncertainty_score":0.03320956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02920022113843128,"score_gpt":0.2392586181630748,"score_spread":0.2100583970246435,"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."}}