{"id":"W4406203792","doi":"10.1007/s43621-025-00810-z","title":"From vulnerable to resilience: an assessment of small-scale fisheries livelihood in South Malang of Indonesia","year":2025,"lang":"en","type":"article","venue":"Discover Sustainability","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Livelihood; Resilience (materials science); Fishery; Scale (ratio); Geography; Environmental resource management; Environmental science; Agriculture; Biology; Cartography","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":[0.000368559,0.0001456304,0.0003190222,0.00002456532,0.0001025325,0.00003281406,0.0004020656,0.00009649392,0.00005037231],"category_scores_gemma":[0.0001625658,0.00005527643,0.00008115742,0.0007880874,0.0001501,0.0002163966,0.0001929285,0.0001565508,4.372702e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001121555,"about_ca_system_score_gemma":0.0001034847,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007923403,"about_ca_topic_score_gemma":0.005625769,"domain_scores_codex":[0.9984726,0.0002273933,0.0003860326,0.0004252668,0.0002110668,0.0002776971],"domain_scores_gemma":[0.9992487,0.0001961572,0.0001063857,0.0001501545,0.0002221233,0.00007641444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000867452,0.0002862565,0.9767591,0.00004688374,0.000004960083,0.00000174902,0.001940263,0.0003907611,0.01265541,0.0002726854,0.00002658834,0.007528613],"study_design_scores_gemma":[0.0001191025,0.0003027839,0.9567812,0.00003964108,0.00000834121,9.052833e-8,0.03578061,0.00008042543,0.004734751,0.001975638,0.0000594557,0.0001179521],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981331,0.00005105376,0.00007964418,0.0006977216,0.00005279389,0.0004716412,0.00007235671,0.00001564033,0.0004260399],"genre_scores_gemma":[0.9993411,0.000005629327,0.0002604331,0.00004225107,0.00002840886,0.00003459252,0.00002959116,5.515095e-7,0.0002574026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03384035,"threshold_uncertainty_score":0.9986829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007163487045554852,"score_gpt":0.2727739547931793,"score_spread":0.2656104677476245,"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."}}