{"id":"W1979114464","doi":"10.1371/journal.pone.0120726","title":"Phosphorus Cycling in Montreal’s Food and Urban Agriculture Systems","year":2015,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Phosphorus and nutrient management","field":"Environmental Science","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Material flow analysis; Food waste; Environmental science; Cycling; Urban agriculture; Agriculture; Phosphorus; Food systems; Food processing; Biodegradable waste; Environmental protection; Environmental engineering; Waste management; Geography; Food security; Chemistry; Ecology; Engineering; Forestry; Biology","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":[0.0002233359,0.0003819569,0.0001824937,0.001406014,0.002370678,0.001721013,0.0008981143,0.0003246404,0.003243462],"category_scores_gemma":[0.0007720091,0.0002158442,0.0003407116,0.003547983,0.001060129,0.0005692917,0.001143222,0.000291139,0.000217532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0344994,"about_ca_system_score_gemma":0.01325385,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9779965,"about_ca_topic_score_gemma":0.989033,"domain_scores_codex":[0.9996681,0.00003163,0.000008237002,0.00007849896,0.0001007875,0.0001127116],"domain_scores_gemma":[0.999607,0.00002677377,0.00006195711,0.00001250315,0.0001934974,0.00009825376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002347765,0.0001418224,0.8844179,0.0003066648,0.0002428129,0.001533713,0.005598978,0.01129916,0.01132323,0.008280958,0.01352653,0.06309339],"study_design_scores_gemma":[0.00001757312,0.0000506708,0.9629138,0.00003258217,0.00004689689,0.0001032833,0.002528559,0.004332219,0.0009386318,0.0004739523,0.02850263,0.00005926084],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9698163,0.0006542919,0.0008812807,0.0009947646,0.00001745007,0.000155015,0.004736795,0.0001026235,0.02264154],"genre_scores_gemma":[0.9931071,0.0003443004,0.001311364,0.0001614478,0.000007801637,0.00006013293,0.001219087,0.00002062973,0.003768101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0344994,"threshold_uncertainty_score":0.2503119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02519213479000332,"score_gpt":0.1804006638957991,"score_spread":0.1552085291057957,"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."}}