{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001177105,0.0002786741,0.0002547879,0.00001873725,0.0007898787,0.0002101257,0.0002402393,0.0002631349,0.0001322345],"category_scores_gemma":[0.0000441312,0.00008368923,0.0001372043,0.0009672693,0.00006675185,0.0002496819,0.0001591742,0.0003108872,0.0000554806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003533413,"about_ca_system_score_gemma":0.00001295852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001580686,"about_ca_topic_score_gemma":0.0009660925,"domain_scores_codex":[0.998553,0.00006331431,0.0002671632,0.000468414,0.000231583,0.0004164704],"domain_scores_gemma":[0.9993328,0.0001497669,0.00007564352,0.00005515922,0.0002577399,0.0001288653],"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":[0.000009170542,0.0001443484,0.003670894,0.00002240463,0.00008165272,0.000007246713,0.0001534646,0.0001860736,0.09165414,0.01431148,0.8785293,0.01122981],"study_design_scores_gemma":[0.0002638309,0.00007662343,0.3123796,0.0001457392,0.00007758982,0.00004957125,0.001222045,0.00008342524,0.0009902094,0.003629106,0.6806354,0.0004469038],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6812552,0.008116608,0.0003117151,0.2759899,0.00104665,0.001349178,0.0002317763,0.000802847,0.03089619],"genre_scores_gemma":[0.9824518,0.0001948885,0.0002145661,0.00966611,0.0006182149,0.00005308229,0.0005115076,0.00000101811,0.006288825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3087087,"threshold_uncertainty_score":0.6075188,"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."}}