{"id":"W4224128557","doi":"10.1007/s41208-022-00433-5","title":"Length-length, Length–weight, and Weight-weight Relationships of Yellowfin (Thunnus Albacares) and Bigeye (Thunnus Obesus) Tuna Collected From the Commercial Handlines Fisheries in the South China Sea","year":2022,"lang":"en","type":"article","venue":"Thalassas An International Journal of Marine Sciences","topic":"Fish Biology and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"Trường Đại học Nha Trang","keywords":"Thunnus; Yellowfin tuna; Fishery; Scombridae; Tuna; Biology; Fisheries management; Fish <Actinopterygii>; Fishing","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":[0.002024849,0.0001723013,0.0002943772,0.00007222454,0.001264879,0.0001011784,0.001049055,0.00007950604,0.000285898],"category_scores_gemma":[0.0005086229,0.00006339519,0.00008155913,0.0004265805,0.001076736,0.0003490447,0.0004716722,0.0005421442,7.881976e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003132467,"about_ca_system_score_gemma":0.00005221552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001204405,"about_ca_topic_score_gemma":0.01321751,"domain_scores_codex":[0.9976586,0.0008033607,0.0005110604,0.0002666957,0.0005237913,0.0002364909],"domain_scores_gemma":[0.9973122,0.001981531,0.000412427,0.00006618958,0.0001733954,0.00005427196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002068958,0.0001371616,0.9900242,0.000001450215,0.00008989766,0.000018782,0.003089522,0.00002163294,0.0002258825,0.0006297001,0.001253497,0.00430135],"study_design_scores_gemma":[0.0004376115,0.0006510518,0.9840517,0.0000131623,0.0000335362,0.00007892364,0.006032255,0.0002033705,0.00008100356,0.003315797,0.004981418,0.0001201846],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9787115,0.0005007743,7.783567e-7,0.01832579,0.0006354607,0.0001303221,0.0001225646,0.000008117984,0.001564622],"genre_scores_gemma":[0.9983171,0.0006419165,0.00008217384,0.0003483018,0.0004483556,0.00001199209,0.00003296133,0.000001425878,0.0001157802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01960552,"threshold_uncertainty_score":0.9728558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03154661211951056,"score_gpt":0.2322249885896765,"score_spread":0.200678376470166,"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."}}