{"id":"W6912596084","doi":"10.5281/zenodo.6877749","title":"Changes in Canada's Phosphorus Cycle 1961–2018: Surpluses and Deficits","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Phosphorus and nutrient management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Phosphorus; Yield (engineering); Work (physics); Quality (philosophy)","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":[0.0005542096,0.0008740358,0.0006925631,0.005509438,0.001572677,0.001941586,0.001829148,0.001298499,0.007748964],"category_scores_gemma":[0.003323037,0.0004647831,0.001154415,0.01392262,0.0005892748,0.0006839005,0.001234652,0.0009875788,0.002464705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01424911,"about_ca_system_score_gemma":0.04000683,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9910109,"about_ca_topic_score_gemma":0.9927233,"domain_scores_codex":[0.9990894,0.00002982506,0.00005813791,0.0001541438,0.0003885877,0.0002798919],"domain_scores_gemma":[0.9955308,0.0001691287,0.0004612128,0.000239516,0.003033123,0.0005662485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0005819742,0.000168884,0.1902296,0.0010242,0.0007343055,0.0002708326,0.0005020995,0.01042149,0.0008234081,0.002959872,0.7768809,0.01540248],"study_design_scores_gemma":[0.000260682,0.00003018908,0.5221084,0.0003148683,0.0002932376,0.0001533521,0.001071027,0.004960422,0.00132533,0.0007995052,0.4685131,0.0001698438],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.02894313,0.0003320601,0.0001207092,0.0005280552,0.00004460659,0.000028674,0.9670734,0.0002198421,0.002709392],"genre_scores_gemma":[0.0767657,0.0005652356,0.0008057556,0.0002596375,0.00004735305,0.00009735349,0.9154574,0.00009299285,0.00590859],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01424911,"threshold_uncertainty_score":0.103385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01507643841918484,"score_gpt":0.190051034960163,"score_spread":0.1749745965409781,"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."}}