{"id":"W3193485984","doi":"10.5555/1480-6800.23.2.184","title":"Determining Factors Influencing Livelihood Strategies Decisions of Coastal Fishermen in Pulau Pangkor, Malaysia","year":2020,"lang":"en","type":"article","venue":"Arab world geographer","topic":"Education and Islamic Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Livelihood; Business; Natural resource economics; Socioeconomics; Geography; Economics; Agriculture; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000195861,0.0001220919,0.0002197104,0.0001756349,0.0001894925,0.00006433823,0.0002213418,0.00004331029,0.0004552895],"category_scores_gemma":[0.0002816053,0.0001151316,0.00009552502,0.001239237,0.0002242858,0.0002876315,0.00006625224,0.0001410546,0.00001275326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001613114,"about_ca_system_score_gemma":0.0001529692,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002469238,"about_ca_topic_score_gemma":0.02263855,"domain_scores_codex":[0.9988133,0.0001097216,0.0003077524,0.0002192483,0.0002500647,0.000299919],"domain_scores_gemma":[0.9993079,0.0002952367,0.0001165803,0.0001067601,0.00007852,0.00009503404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00000459851,0.00003241958,0.9159072,0.000004230817,0.00002177237,0.000002126602,0.07860827,0.00003910935,0.00009936313,0.001529758,0.0005075767,0.003243561],"study_design_scores_gemma":[0.0001946814,0.00002833175,0.8118628,0.00006490493,0.00001291196,7.662106e-8,0.1837999,0.00002339175,0.0000495088,0.0009967644,0.002823023,0.0001436701],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9609628,0.0001299743,0.00001396732,0.001057173,0.0001409809,0.0001438444,0.000005760417,0.00004320292,0.03750231],"genre_scores_gemma":[0.9989633,0.000114568,0.0002518826,0.0003240047,0.00006691955,0.00001230132,0.000003166489,0.000009378552,0.0002544661],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1051916,"threshold_uncertainty_score":0.9951957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03892361045764446,"score_gpt":0.3061411371965456,"score_spread":0.2672175267389011,"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."}}