{"id":"W4323028346","doi":"10.37867/te140360","title":"AVAILABILITY OF MICRONUTRIENTS IN A TAKEN SOIL SAMPLE FROM SELECTED VILLAGES OF MORBI, GUJARAT INDIA","year":2022,"lang":"en","type":"article","venue":"Towards Excellence","topic":"Plant Micronutrient Interactions and Effects","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Micronutrient; Nutrient; Crop; Manganese; Zinc; Copper; Environmental science; Soil fertility; Biology; Horticulture; Soil water; Chemistry; Agronomy; Toxicology; Animal science; Ecology; Soil science","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":[0.00006764415,0.0002725199,0.0001857758,0.0009252844,0.000681412,0.0004779172,0.0002550979,0.0003264296,0.0008114127],"category_scores_gemma":[0.0002031415,0.0001629126,0.0001499507,0.001189987,0.000359331,0.0000818923,0.0003070032,0.0001408938,0.0001971215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002680733,"about_ca_system_score_gemma":0.0002967358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01752101,"about_ca_topic_score_gemma":0.04764995,"domain_scores_codex":[0.9998859,0.00001802248,0.00001341792,0.00003241494,0.0000255525,0.00002468333],"domain_scores_gemma":[0.9998217,0.00003883169,0.00005526127,0.00001141997,0.00004119437,0.00003145346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000277262,0.0001606821,0.8527628,0.0004111833,0.00008238982,0.003600696,0.01097625,0.0001654272,0.1166312,0.0001136808,0.0003417488,0.01447672],"study_design_scores_gemma":[0.000003596957,0.0001902432,0.9891409,0.00001381801,0.00003313705,0.001475526,0.005215359,0.00006397558,0.002885269,0.00002264177,0.0009488649,0.000006647851],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987941,0.00008599358,0.00007016624,0.00002253685,0.000002180112,0.00001273061,0.0004064444,0.000008013943,0.0005978107],"genre_scores_gemma":[0.9981369,0.0001590874,0.0003758797,0.00004426941,0.0000040423,0.00001624817,0.0004800528,0.000002436049,0.0007811054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01752101,"threshold_uncertainty_score":0.03483808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01173440531824259,"score_gpt":0.2046923375324269,"score_spread":0.1929579322141843,"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."}}