{"id":"W2981907534","doi":"10.1111/cag.12572","title":"Exploring motivation crowding around farmer incentives for riparian management in Nova Scotia","year":2019,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nova Scotia Department of Agriculture; Dalhousie University","funders":"Environment and Climate Change Canada","keywords":"Incentive; Stewardship (theology); Wildlife; Riparian zone; Crowding; Prosocial behavior; Business; Incentive program; Additionality; Wildlife conservation; Nova scotia; Environmental resource management; Public economics; Natural resource economics; Geography; Habitat; Psychology; Economics; Ecology; Political science; Social psychology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.001261703,0.0001412579,0.0001822559,0.0004762766,0.00210142,0.0009118845,0.0005177771,0.0002710977,0.002050804],"category_scores_gemma":[0.002766567,0.0001479123,0.0001453601,0.0004428979,0.001025555,0.0002547945,0.00102371,0.0004648928,0.0001312038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01234261,"about_ca_system_score_gemma":0.01221704,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9075512,"about_ca_topic_score_gemma":0.9745252,"domain_scores_codex":[0.9992191,0.0002133422,0.00001792885,0.0001239493,0.0001173529,0.0003082834],"domain_scores_gemma":[0.9965351,0.000689516,0.0007169128,0.0001389234,0.0008502507,0.001069337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002344798,0.0002144505,0.9680608,0.00006780378,0.00004111775,0.000323931,0.01123025,0.0003567626,0.001832301,0.0003641985,0.00212958,0.01514427],"study_design_scores_gemma":[0.000005889219,0.00006395141,0.9815536,0.00004280334,0.000007432929,0.00001843702,0.01612208,0.0003988375,0.0001134856,0.00006354917,0.001600223,0.000009808062],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974658,0.00003729525,0.0001218373,0.000195459,0.000007271351,0.00004416116,0.0001813874,0.000002838289,0.001943948],"genre_scores_gemma":[0.9985873,0.00002784801,0.000211282,0.00007294833,0.000002180251,0.00003630742,0.00008084792,0.000001729357,0.0009797304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09244883,"threshold_uncertainty_score":0.1859865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02664074015225954,"score_gpt":0.2016274917772136,"score_spread":0.1749867516249541,"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."}}