{"id":"W7009174658","doi":"","title":"Development of a preliminary nitrogen index for different soil types in Quebec","year":2024,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation","keywords":"Soil water; Nitrogen; Soil classification; Index (typography); Soil type; Hydrology (agriculture)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003869346,0.0003327407,0.0002820034,0.002155382,0.001409699,0.0009580243,0.000525029,0.0002139285,0.003158713],"category_scores_gemma":[0.0008152933,0.0001162477,0.0002352547,0.002628836,0.0001947099,0.000312713,0.0003758262,0.0002705369,0.0004416123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0130943,"about_ca_system_score_gemma":0.006354938,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9852797,"about_ca_topic_score_gemma":0.9941968,"domain_scores_codex":[0.9997731,0.00002173679,0.00001493504,0.00005047971,0.00007739045,0.00006247726],"domain_scores_gemma":[0.9989091,0.00005678551,0.0000694289,0.00002049258,0.000831942,0.0001122799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000325359,0.000102221,0.8509406,0.000123606,0.0001282988,0.0002419775,0.001160952,0.004037519,0.009200408,0.0006782021,0.009463004,0.1235979],"study_design_scores_gemma":[0.000007439415,0.00002733556,0.9897356,0.0000171692,0.00001550238,0.00001819519,0.0007564803,0.002418973,0.0009104224,0.0000398334,0.00604339,0.000009625372],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9524432,0.0006514299,0.003703768,0.0002839399,0.00002661922,0.0002952548,0.01680917,0.0001778139,0.02560884],"genre_scores_gemma":[0.9777664,0.0002108148,0.005239111,0.0000541417,0.00000443585,0.0001244946,0.005651456,0.000032769,0.01091639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01472032,"threshold_uncertainty_score":0.09500629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01587130531759372,"score_gpt":0.2280041261224814,"score_spread":0.2121328208048877,"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."}}