{"id":"W3198551001","doi":"10.1016/j.ecolecon.2021.107206","title":"Socio-ecological transition in a Mediterranean agroecosystem: What energy flows tell us about agricultural landscapes ruled by landlords, peasants and tourism (Mallorca, 1860-1956-2012)","year":2021,"lang":"en","type":"article","venue":"Ecological Economics","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agencia Estatal de Investigación; Social Sciences and Humanities Research Council of Canada; Ministerio de Ciencia, Innovación y Universidades","keywords":"Agriculture; Peasant; Agroecosystem; Agrarian society; Tourism; Economic rent; Prosperity; Firewood; Natural resource economics; Geography; Agroforestry; Agricultural economics; Economics; Business; Market economy; Environmental science; Economic growth","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0003381709,0.0001010187,0.0001451554,0.00089438,0.0004367239,0.001450902,0.0002416211,0.0003636278,0.001651336],"category_scores_gemma":[0.0007580962,0.00006969835,0.0002284496,0.001076576,0.001035312,0.001033686,0.0007070505,0.0003352498,0.000160337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001890014,"about_ca_system_score_gemma":0.000379993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0423567,"about_ca_topic_score_gemma":0.06802057,"domain_scores_codex":[0.9998857,0.00002317135,0.000006382496,0.00002789462,0.00001469224,0.00004219895],"domain_scores_gemma":[0.9997351,0.00003922896,0.0001022555,0.00001690336,0.00004093023,0.00006568619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001895322,0.00007619114,0.9511368,0.00005874997,0.00009608975,0.0006021231,0.02004052,0.000893491,0.0007242165,0.004335046,0.001611699,0.0202356],"study_design_scores_gemma":[0.000001394885,0.00002047893,0.9884862,0.00002180182,0.000004963264,0.00004773464,0.00808215,0.0002575831,0.00004416775,0.0003168517,0.002710458,0.000006117958],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967623,0.0003247819,0.00008151138,0.0002815984,0.000006320563,0.000004031946,0.0003298112,0.000002095872,0.00220753],"genre_scores_gemma":[0.998899,0.0002177945,0.00006570861,0.00003025432,0.000009557796,0.000002875573,0.0003341926,0.000002154845,0.0004385751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0423567,"threshold_uncertainty_score":0.08422029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005060497336348677,"score_gpt":0.18135474180793,"score_spread":0.1762942444715814,"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."}}