{"id":"W2021687106","doi":"10.3390/su6052490","title":"Can Local Institutions Help Sustain Livelihoods in an Era of Fish Declines and Persistent Environmental Change? A Cambodian Case Study","year":2014,"lang":"en","type":"article","venue":"Sustainability","topic":"Cambodian History and Society","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Livelihood; Fishing; Resource (disambiguation); Patrolling; Work (physics); Environmental change; Tourism; Business; Environmental resource management; Geography; Climate change; Environmental planning; Vulnerability (computing); Fishery; Agriculture; Ecology; Engineering; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001660687,0.0001388644,0.0002491771,0.00006683472,0.0007102069,0.00003130363,0.0001369595,0.0001248196,0.00003200789],"category_scores_gemma":[0.0004408568,0.0001521154,0.0001019039,0.0002189528,0.001551633,0.000267882,0.00008241332,0.0002395115,3.567515e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002101671,"about_ca_system_score_gemma":0.0006512372,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07938654,"about_ca_topic_score_gemma":0.2659729,"domain_scores_codex":[0.9978727,0.0008572883,0.0002748655,0.0003819267,0.0002373725,0.0003758614],"domain_scores_gemma":[0.9991249,0.0001110077,0.0000705593,0.0002904663,0.0001360834,0.0002670137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002180072,0.0008950771,0.6706492,0.00006025434,0.000009768767,0.0001874065,0.3178803,0.00002837309,0.00000129053,0.001573715,0.00002032856,0.008672431],"study_design_scores_gemma":[0.000581346,0.0004702209,0.1440922,0.000006109652,0.00003127957,0.00001316463,0.8518063,0.0001558543,0.000001148401,0.0004996757,0.002156257,0.0001864669],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964297,0.00006200632,0.00002221718,0.002128803,0.00007544058,0.001111503,0.00003127885,0.00002476341,0.0001142531],"genre_scores_gemma":[0.9995074,0.00001447498,0.00002080993,0.0001873449,0.0001045059,0.00008863735,0.000006728817,0.000007072196,0.00006301793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.533926,"threshold_uncertainty_score":0.9267439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03180234564873589,"score_gpt":0.3121512709381983,"score_spread":0.2803489252894624,"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."}}