{"id":"W7165368976","doi":"10.70177/agriculturae.v1i1.953","title":"Smart Fertilization Technology for Agricultural Efficiency in Canada","year":2024,"lang":"","type":"article","venue":"Techno Agriculturae Studium of Research","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thompson Rivers University; Langara College","funders":"","keywords":"Agriculture; Crop yield; Fertilizer; Human fertilization; Precision agriculture; Leaching (pedology); Nutrient; Soil fertility","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":[0.001071132,0.0003148516,0.0003110618,0.0006574334,0.002506011,0.002022255,0.0007329227,0.0003848169,0.002099633],"category_scores_gemma":[0.002022362,0.00016172,0.0004058747,0.001651678,0.0009494944,0.0006085934,0.0008335444,0.0003902265,0.0001412271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04814282,"about_ca_system_score_gemma":0.06801657,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9562994,"about_ca_topic_score_gemma":0.9798007,"domain_scores_codex":[0.9986169,0.0001286752,0.00004997941,0.000156759,0.0007848806,0.0002627236],"domain_scores_gemma":[0.9986178,0.0002182172,0.000120741,0.00007247651,0.0008365972,0.0001341529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001253265,0.0006689663,0.174627,0.001693784,0.0002362838,0.001065464,0.003622347,0.03014498,0.113078,0.02345818,0.01384103,0.6363107],"study_design_scores_gemma":[0.0002166023,0.001584275,0.65456,0.0006028355,0.0006112907,0.0004203123,0.01026256,0.06215901,0.081595,0.009270651,0.1783696,0.0003479484],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9128339,0.00362847,0.01608093,0.00339181,0.00007416269,0.0005860132,0.001593945,0.0004059777,0.06140463],"genre_scores_gemma":[0.973965,0.001581453,0.01521138,0.0002211909,0.000004120423,0.00007525054,0.0003110022,0.00002130692,0.008609238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04814282,"threshold_uncertainty_score":0.3493022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03789049608771845,"score_gpt":0.3107838832976382,"score_spread":0.2728933872099198,"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."}}