{"id":"W7033941082","doi":"","title":"Standardized North East Atlantic albacore (Thunnus alalunga) CPUE´s from the Spanish baitboat fleet by quarter and year: 1981-2007.","year":2010,"lang":"en","type":"other","venue":"DIGITAL.CSIC (Spanish National Research Council (CSIC))","topic":"Fossil Insects in Amber","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); North east; Albacore; Fishing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002418622,0.0005469272,0.000233529,0.003493277,0.0002288824,0.0003647208,0.0004524825,0.000127085,0.01758507],"category_scores_gemma":[0.0003768802,0.0001994855,0.0002024697,0.003572539,0.0001107441,0.0002999253,0.000302853,0.000242936,0.006977678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009422475,"about_ca_system_score_gemma":0.0006705866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1613079,"about_ca_topic_score_gemma":0.3945228,"domain_scores_codex":[0.99981,0.000009127761,0.0000199584,0.0000424764,0.00008966195,0.0000288844],"domain_scores_gemma":[0.999546,0.00002378394,0.0001398525,0.00003669829,0.0002137752,0.00003979716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001173408,0.0001350937,0.3774044,0.001670562,0.0002729977,0.0004299116,0.0006795175,0.00245642,0.01228572,0.000944573,0.3792666,0.2232807],"study_design_scores_gemma":[0.00001099248,0.0000259515,0.923629,0.00003128632,0.00002514857,0.00008130577,0.0001888617,0.0001248168,0.0006046242,0.00005215707,0.07521784,0.000008075059],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1273883,0.001226796,0.0007983508,0.00006838884,0.0001090045,0.0001294857,0.8041127,0.0002992665,0.06586785],"genre_scores_gemma":[0.1628791,0.0008445614,0.002581045,0.00004562487,0.00003394746,0.0001549719,0.7788918,0.000129715,0.05443919],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1613079,"threshold_uncertainty_score":0.320738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06448877306202419,"score_gpt":0.2687783174524883,"score_spread":0.2042895443904641,"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."}}