{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001750934,0.0001030509,0.0001556123,0.0000194045,0.00003747543,0.00003919837,0.0001145156,0.0000452539,0.00001882638],"category_scores_gemma":[0.00002073513,0.0000828453,0.00001366932,0.0001668358,0.0000321962,0.0001254911,0.0001620131,0.00008478876,0.0001480657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001330958,"about_ca_system_score_gemma":0.000001982616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001779897,"about_ca_topic_score_gemma":0.0003071853,"domain_scores_codex":[0.999046,0.00002162416,0.0001464695,0.0002414903,0.0003271064,0.0002173588],"domain_scores_gemma":[0.9996509,0.00001181141,0.00004590091,0.0001460785,0.000005366564,0.0001399342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005774086,0.001876271,0.9713129,0.00004918477,0.0000851689,0.00002864868,0.001871835,0.0005621905,0.002624301,0.0003678974,0.02028387,0.0008799868],"study_design_scores_gemma":[0.005141595,0.001427005,0.9291939,0.0006526054,0.0002537396,0.000007372598,0.003226823,0.01175431,0.01866904,0.002059295,0.02626407,0.00135032],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9793758,0.002094194,0.000007849121,0.0001407613,0.00004204076,0.0003276974,0.000004302798,0.00003074495,0.01797662],"genre_scores_gemma":[0.9979959,0.0002390488,0.0001474935,0.00006390173,0.00002763548,0.00003818266,0.000004107136,0.000007329876,0.001476364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04211908,"threshold_uncertainty_score":0.3378333,"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."}}