{"id":"W2618301266","doi":"10.4257/oeco.2016.2004.04","title":"ECOLOGIA DE ICTIOPLÂNCTON: UMA ABORDAGEM CIENCIOMÉTRICA","year":2016,"lang":"pt","type":"article","venue":"Oecologia Australis","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ichthyoplankton; Geography; Fishing; Ranking (information retrieval); Ecology; Fishery; Fish <Actinopterygii>; Biology; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001103538,0.0004671428,0.0004555527,0.000159124,0.0004757777,0.0001796519,0.00140745,0.0006507865,0.2814595],"category_scores_gemma":[0.0006940046,0.0003285228,0.0002267168,0.000928576,0.000951418,0.0005819367,0.001129807,0.0005288066,0.007914323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001690454,"about_ca_system_score_gemma":0.0002042694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008481668,"about_ca_topic_score_gemma":0.0007262605,"domain_scores_codex":[0.9953123,0.000372066,0.0005658256,0.001042682,0.0007106622,0.001996413],"domain_scores_gemma":[0.9976977,0.0005428396,0.0002161414,0.0008764943,0.00004790574,0.0006189124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007481551,0.0003127784,0.742112,0.00002647299,0.00005243142,0.0002977138,0.0001917752,0.00001071353,0.008678858,0.0002798027,0.1589641,0.08899858],"study_design_scores_gemma":[0.0008156568,0.0009262823,0.7200799,0.00001109763,0.0000428266,0.00004433612,0.0002362212,0.0001036213,0.002419153,0.0001985973,0.2745688,0.0005534857],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6849911,0.00002121448,0.0007684412,0.01197831,0.001064448,0.0009785816,0.0002141913,0.0002603198,0.2997234],"genre_scores_gemma":[0.7948198,0.0004307065,0.000621298,0.0004762841,0.00018047,0.00009411234,0.000007829862,0.00003676301,0.2033327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2735451,"threshold_uncertainty_score":0.9999167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02991522427157787,"score_gpt":0.2874500941565276,"score_spread":0.2575348698849497,"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."}}