{"id":"W2588892831","doi":"10.1139/cjfas-2016-0367","title":"Diversity of fishing <i>métier</i> use can affect incomes and costs in small-scale fisheries","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fishing; Profit (economics); Fishery; Diversification (marketing strategy); Limiting; Business; Fisheries management; Economies of scale; Opportunity cost; Natural resource economics; Economics; Microeconomics","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":[0.0005025795,0.0001772153,0.000247586,0.0007837364,0.000611993,0.0009966348,0.0002386181,0.0002850468,0.003138075],"category_scores_gemma":[0.00231071,0.0001331363,0.000258781,0.0008414905,0.0007038044,0.0008024999,0.001004315,0.0002850395,0.0003359258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001055025,"about_ca_system_score_gemma":0.0002789744,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02077377,"about_ca_topic_score_gemma":0.06127232,"domain_scores_codex":[0.9996096,0.0001150339,0.00003262143,0.00007345529,0.00007023452,0.00009909276],"domain_scores_gemma":[0.9984179,0.0004324035,0.0006443945,0.00008776788,0.0001560784,0.0002615052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001006833,0.00005925426,0.9837975,0.00004009137,0.0001003926,0.0002536137,0.0007347927,0.001338569,0.003273176,0.0003906962,0.000170084,0.009741206],"study_design_scores_gemma":[5.516582e-7,0.00002687263,0.999052,0.000004584847,0.000005165994,0.0000461196,0.000365309,0.0001935568,0.00006707969,0.000105869,0.0001290792,0.000003914296],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983668,0.00005853086,0.0001358186,0.00003038253,0.00000106627,0.000003906475,0.00009246264,0.00000119874,0.001309876],"genre_scores_gemma":[0.9994503,0.00003900499,0.0001287325,0.000007221029,0.000001343813,0.000003295502,0.00005819675,0.000001297764,0.0003105744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9792262,"threshold_uncertainty_score":0.04130572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03554915910068224,"score_gpt":0.2346351152218305,"score_spread":0.1990859561211483,"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."}}