{"id":"W2787590733","doi":"10.1139/cjfas-2017-0169","title":"Reporting time period matters: quantifying catch rates and exploring recall bias from fisher interviews in Thailand","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Udenrigsministeriet","keywords":"Period (music); Recall; Recall bias; Demography; Geography; Fishery; Statistics; Psychology; Biology; Social psychology; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02218875,0.0004827798,0.0004413697,0.001959387,0.0009543579,0.001429159,0.0008117885,0.0004976037,0.001109351],"category_scores_gemma":[0.08537754,0.0003734364,0.0006514044,0.003856149,0.001056205,0.001891925,0.001740705,0.0006634659,0.0001567024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001382254,"about_ca_system_score_gemma":0.001904443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03614782,"about_ca_topic_score_gemma":0.04528173,"domain_scores_codex":[0.9770498,0.01276111,0.004488382,0.001419585,0.003523956,0.0007571228],"domain_scores_gemma":[0.9044835,0.05074667,0.03051841,0.005482104,0.008283293,0.0004860598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009545391,0.00003067064,0.9498953,0.0005176233,0.0001765827,0.0002691802,0.02679907,0.0003104462,0.0003861249,0.0002771951,0.0004352175,0.02080727],"study_design_scores_gemma":[0.00001150439,0.0002355069,0.9099043,0.001518825,0.0003536537,0.0008826274,0.07402015,0.003325309,0.002270201,0.001163639,0.006229079,0.00008520623],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846581,0.001452736,0.008729341,0.0004854935,0.00004956131,0.0002819835,0.001643121,0.00001140567,0.002688226],"genre_scores_gemma":[0.9932615,0.0008499579,0.003694292,0.0002128752,0.00003472423,0.000368852,0.0009989612,0.00001017155,0.0005687326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03614782,"threshold_uncertainty_score":0.1173468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.142408442885065,"score_gpt":0.2701299109635851,"score_spread":0.1277214680785201,"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."}}