{"id":"W2615869594","doi":"10.12681/mms.1683","title":"Reconstruction of Marine Fisheries Catches for the Republic of Malta (1950-2010)","year":2017,"lang":"en","type":"article","venue":"Mediterranean Marine Science","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Università ta' Malta; University of British Columbia; Oak Foundation; Paul G. Allen Family Foundation","keywords":"Discards; Fishery; Subsistence agriculture; Marine fisheries; Geography; Maltese; Recreational fishing; Recreation; Fishing; Ecology; Biology; Agriculture; Archaeology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.0002823206,0.0004055781,0.0002210068,0.004499871,0.0003124415,0.001149617,0.000439861,0.0001931713,0.004041857],"category_scores_gemma":[0.001364065,0.0002397287,0.0005642919,0.006490723,0.00024502,0.0006694752,0.0009521514,0.0003181973,0.001135077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0046222,"about_ca_system_score_gemma":0.001881041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3475051,"about_ca_topic_score_gemma":0.3403393,"domain_scores_codex":[0.9997165,0.00002911078,0.00004765994,0.00007317535,0.00006619174,0.00006743974],"domain_scores_gemma":[0.999453,0.00003101267,0.0002055712,0.0000455652,0.0002282416,0.00003661986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004988938,0.00005684772,0.8300107,0.0007684059,0.001158598,0.001489574,0.001491814,0.01173996,0.003315312,0.004565278,0.03935289,0.1055517],"study_design_scores_gemma":[0.000006295001,0.00001570733,0.9436828,0.00009252907,0.00009161187,0.0002796639,0.0009003846,0.003242219,0.0008311336,0.0001782354,0.05064005,0.00003928913],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8435751,0.002745574,0.001844738,0.0006162824,0.00005877555,0.00009046907,0.1372114,0.000241787,0.01361595],"genre_scores_gemma":[0.9181369,0.002568963,0.002517108,0.00006994802,0.00001658169,0.0001270696,0.06717511,0.00009649503,0.009291871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3475051,"threshold_uncertainty_score":0.6909648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04111476575437576,"score_gpt":0.2526678616450581,"score_spread":0.2115530958906823,"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."}}