{"id":"W2017527665","doi":"10.1111/j.1573-7861.2008.00074.x","title":"Exchange Relationships in Inshore Fisheries<sup>1</sup>","year":2008,"lang":"en","type":"article","venue":"Sociological Forum","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Transaction cost; Ethnography; Social exchange theory; Context (archaeology); Variety (cybernetics); Fishery; Information exchange; Participant observation; Business; Sociology; Economics; Microeconomics; Geography; Social science; Biology; Computer science","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":[0.0004231045,0.0001178755,0.0002178362,0.00004002358,0.00118175,0.00001560879,0.0002077442,0.0002776167,0.0006850939],"category_scores_gemma":[0.000276971,0.0001069753,0.00008929054,0.0001575483,0.001154299,0.0002039261,0.0001372368,0.0003466631,0.0002318985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003171235,"about_ca_system_score_gemma":0.00004862624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008656176,"about_ca_topic_score_gemma":0.001155376,"domain_scores_codex":[0.9986324,0.0002855612,0.0002306822,0.00025432,0.0001203224,0.0004767043],"domain_scores_gemma":[0.9995251,0.0001994372,0.00004869162,0.0001101871,0.00002375667,0.0000928129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009867412,0.00007200196,0.9248585,0.000001186023,0.000004504245,0.00001156861,0.04335433,0.00000764709,0.0000107398,0.02407163,0.007381462,0.0002166084],"study_design_scores_gemma":[0.001037991,0.0003541647,0.4871531,0.0000211993,0.00001089293,0.00000589279,0.2952206,0.00007641342,0.00004885728,0.05546936,0.1597677,0.0008338963],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8972024,0.0005103678,0.000003146353,0.007094679,0.00009571069,0.0002320777,0.000008751023,0.0000764716,0.09477636],"genre_scores_gemma":[0.9964668,0.0005917951,0.0002750706,0.0004864245,0.0001112162,0.00009048938,0.00001285264,0.000008012013,0.001957322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4377054,"threshold_uncertainty_score":0.9089181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.159380102051499,"score_gpt":0.3393269111364782,"score_spread":0.1799468090849792,"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."}}