{"id":"W4392015708","doi":"10.32920/25260823.v1","title":"A Comparative Study of Total and Leachable Concentrations of Metallic Micronutrients in Canadian Marginal and Agricultural Land used for Sorghum Production","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; St. Francis Xavier University","funders":"","keywords":"Sorghum; Micronutrient; Agriculture; Environmental science; Agricultural land; Agricultural productivity; Production (economics); Agricultural economics; Agronomy; Geography; Forestry; Economics; Biology; Chemistry","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":[0.0001104448,0.0001750133,0.0002361838,0.0006949417,0.001577464,0.0007757723,0.0003254327,0.0001063517,0.0008773964],"category_scores_gemma":[0.0002132097,0.0001036516,0.0001328047,0.001655124,0.0004279756,0.0001564161,0.0002292224,0.0001242082,0.0001231109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005205574,"about_ca_system_score_gemma":0.005497757,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8744948,"about_ca_topic_score_gemma":0.9764822,"domain_scores_codex":[0.9998325,0.000006960507,0.000006750506,0.00003975829,0.00006702705,0.00004701402],"domain_scores_gemma":[0.9997736,0.00001396849,0.00003147907,0.000009066205,0.0001323828,0.00003949972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006068856,0.00005882965,0.6528421,0.0003293484,0.0000845844,0.00057725,0.00577552,0.0002687717,0.3014021,0.000506983,0.0004532847,0.03709424],"study_design_scores_gemma":[0.000001869183,0.00006141648,0.9883986,0.0000119999,0.00001559923,0.00008455727,0.002529383,0.00009858792,0.005930775,0.00002201779,0.002838873,0.000006270919],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984283,0.0001468748,0.0001120332,0.00000927863,8.00104e-7,0.000006633175,0.000359521,0.000002756656,0.0009337681],"genre_scores_gemma":[0.9962063,0.0003458663,0.0006906529,0.00001590803,5.930022e-7,0.000008172352,0.0006780794,0.000005596313,0.002048946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1255052,"threshold_uncertainty_score":0.2524886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02555224772640217,"score_gpt":0.2720759277296942,"score_spread":0.2465236800032921,"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."}}