{"id":"W1991430746","doi":"10.5539/ijef.v6n7p11","title":"Gender in Environmental Context: The Effect of Property Rights, Fines, and Empathy Nudging","year":2014,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Food and Agriculture; U.S. Department of Agriculture","keywords":"Empathy; Affect (linguistics); Context (archaeology); Argument (complex analysis); Position (finance); Property rights; Social psychology; Language change; Property (philosophy); Economics; Psychology; Public economics; Microeconomics; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.003761793,0.0003963016,0.0005810997,0.0003763725,0.0007165307,0.001451494,0.0005015365,0.0008805081,0.01091485],"category_scores_gemma":[0.01715974,0.0002588575,0.0004146006,0.0002882028,0.001493707,0.001063523,0.001537892,0.001052648,0.0004713394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006021936,"about_ca_system_score_gemma":0.0005993439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001820563,"about_ca_topic_score_gemma":0.002303004,"domain_scores_codex":[0.9958667,0.002642013,0.0001436731,0.0005667081,0.0004380927,0.0003428924],"domain_scores_gemma":[0.9712117,0.02057582,0.003707595,0.001240832,0.0005163238,0.002747736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01575398,0.007740647,0.8290849,0.000447118,0.0005485335,0.001715375,0.02555664,0.001442318,0.05463825,0.006415964,0.001171474,0.05548477],"study_design_scores_gemma":[0.0001219333,0.001966694,0.9855387,0.00006744738,0.0001192973,0.0002186636,0.005370994,0.001137645,0.002000084,0.001608634,0.001810049,0.00003985062],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951293,0.0001676964,0.0002820023,0.0001650812,0.00002120389,0.00002033853,0.00003667456,0.000003833224,0.004173838],"genre_scores_gemma":[0.9985784,0.00005289271,0.000251891,0.00007605764,0.000007925856,0.00002752747,0.00002208868,0.000006727947,0.0009763341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01091485,"threshold_uncertainty_score":0.03651386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01470775184789181,"score_gpt":0.2590706075719801,"score_spread":0.2443628557240883,"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."}}