{"id":"W4394096742","doi":"10.6084/m9.figshare.21304980","title":"Integration points for sustainable nutrient policy in Canada","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Phosphorus and nutrient management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nutrient; Business; Natural resource economics; Geography; Economics; Ecology; Biology","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":[0.001209732,0.001496412,0.001317603,0.006811231,0.002498788,0.004011438,0.002625852,0.001695261,0.0736699],"category_scores_gemma":[0.009367649,0.001218883,0.001868155,0.02700048,0.0006722958,0.001783156,0.002062404,0.002815673,0.03413172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02726208,"about_ca_system_score_gemma":0.06064704,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9791905,"about_ca_topic_score_gemma":0.9808055,"domain_scores_codex":[0.9979091,0.0001269457,0.00015723,0.0002956312,0.0009277712,0.0005831862],"domain_scores_gemma":[0.9913679,0.0007283264,0.0004714646,0.0008064326,0.005508581,0.001117269],"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":[0.00003823557,0.000009436525,0.001158833,0.0002215284,0.00001936149,0.00001049631,0.00004571348,0.0007896849,0.00002931699,0.001841857,0.9933931,0.002442313],"study_design_scores_gemma":[0.0001318284,0.000004743366,0.01524778,0.0004506503,0.00003779998,0.00001532222,0.0002289666,0.001393795,0.0002598303,0.0023184,0.9798421,0.00006879651],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001558058,0.00004234394,0.00005945881,0.00008895886,0.00001235561,0.00001187292,0.9975158,0.000152981,0.001960348],"genre_scores_gemma":[0.001442981,0.0001522301,0.0006700912,0.00005976389,0.000005624997,0.00008660264,0.9946046,0.0001602291,0.002817713],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0736699,"threshold_uncertainty_score":0.2464504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01197607109446233,"score_gpt":0.2257553319119736,"score_spread":0.2137792608175113,"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."}}