{"id":"W7024936236","doi":"","title":"Speed River Trail Greening, Guelph ON Canada","year":2014,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Coagulation and Flocculation Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hydrology (agriculture); Greening; Flooding (psychology); Climate change","routes":{"ca_aff":false,"ca_fund":false,"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":[0.0001112538,0.0004439195,0.0002329825,0.0008968525,0.005395263,0.001221231,0.0005512002,0.0004212847,0.2156408],"category_scores_gemma":[0.0004118522,0.0003238851,0.0001644498,0.001618819,0.0005903634,0.0003982116,0.0007183292,0.0004717361,0.02829368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01239122,"about_ca_system_score_gemma":0.01904867,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9803555,"about_ca_topic_score_gemma":0.9977328,"domain_scores_codex":[0.9997626,0.000009550445,0.000005056362,0.00005024609,0.00008258245,0.00009006519],"domain_scores_gemma":[0.9995383,0.00002485144,0.00002148708,0.00001522953,0.0002417433,0.0001584463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002343909,0.00009544213,0.03030278,0.0004845995,0.00001855627,0.0008802736,0.001622946,0.0003505815,0.002370605,0.003882807,0.7588977,0.2008593],"study_design_scores_gemma":[0.00002088482,0.00004134411,0.1294711,0.0001945625,0.000009628707,0.0001883239,0.00181049,0.0001357699,0.000583215,0.0002200871,0.867299,0.00002565817],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.05637085,0.003791365,0.0003796291,0.002736327,0.000232281,0.0002773657,0.04381088,0.0004495666,0.8919517],"genre_scores_gemma":[0.04555081,0.001709354,0.0005964942,0.0003448873,0.00001179014,0.00003090485,0.003752946,0.0001372249,0.9478655],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2156408,"threshold_uncertainty_score":0.7213905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0068135246105734,"score_gpt":0.1762473805058049,"score_spread":0.1694338558952314,"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."}}