{"id":"W6892315815","doi":"10.5061/dryad.j04r6","title":"Data from: Adaptive landscape and functional diversity of Neotropical cichlids: implications for the ecology and evolution of Cichlinae (Cichlidae; Cichliformes)","year":2014,"lang":"en","type":"dataset","venue":"Data Archiving and Networked Services (DANS)","topic":"Fish biology, ecology, and behavior","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Ontario Museum; University of Toronto","funders":"","keywords":"Cichlid; Functional diversity; Null model; Evolutionary ecology; Trait; Adaptation (eye); Functional ecology; Lineage (genetic); Ecomorphology; Convergent evolution","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001091717,0.0002735072,0.0003946381,0.001245313,0.0003558767,0.0007335609,0.0003721779,0.0003266596,0.005537746],"category_scores_gemma":[0.003632452,0.0001579662,0.0003346632,0.001654599,0.0002575802,0.0003129987,0.00073179,0.0004320479,0.001087768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004007902,"about_ca_system_score_gemma":0.000361548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01135023,"about_ca_topic_score_gemma":0.01659416,"domain_scores_codex":[0.9995936,0.00006994756,0.00005639301,0.0001004726,0.0001416563,0.00003794578],"domain_scores_gemma":[0.9978531,0.0006128864,0.0003756051,0.0003522904,0.000669768,0.0001361746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006791461,0.000076789,0.8945779,0.0005348428,0.0004127327,0.0001864037,0.0008384815,0.003917987,0.009436003,0.0004909507,0.01108818,0.07776045],"study_design_scores_gemma":[0.0000185974,0.00002284245,0.99289,0.00002043562,0.00003414605,0.00005468923,0.0001243039,0.00131072,0.0005422204,0.0001848374,0.004786462,0.00001070406],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9551806,0.00039038,0.002183315,0.0001964194,0.0000309511,0.00005768476,0.0384799,0.0001695865,0.003311259],"genre_scores_gemma":[0.9446976,0.0001528245,0.005291642,0.00006984094,0.00002041949,0.000160341,0.04839856,0.00005060711,0.001158303],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.01135023,"threshold_uncertainty_score":0.02256835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03798407065080636,"score_gpt":0.2570945156992915,"score_spread":0.2191104450484852,"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."}}