{"id":"W7056464743","doi":"","title":"Fatty Acid Profiles of Major Prey and Predator Fish in Lake Ontario: Use in Assessing Food Web Interactions","year":2016,"lang":"","type":"dissertation","venue":"SUNY Digital Repository Support (State University of New York System)","topic":"Particle accelerators and beam dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Food web; Predation; Fish <Actinopterygii>; Predator; Graduate students; Fishing; Fisheries Research","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"],"consensus_categories":[],"category_scores_codex":[0.0001197048,0.0005405136,0.001014523,0.0006332165,0.0001330043,0.0003263293,0.0003557585,0.0003479739,0.00003769709],"category_scores_gemma":[0.00004124627,0.000630652,0.0002287457,0.0003843841,0.0001187699,0.0033963,0.0001270889,0.0004511838,0.000004121334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00090468,"about_ca_system_score_gemma":0.001183098,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00598656,"about_ca_topic_score_gemma":0.5255842,"domain_scores_codex":[0.9971231,0.00008386629,0.001215173,0.0006654011,0.0003974439,0.0005149983],"domain_scores_gemma":[0.9980182,0.0001642271,0.0008495802,0.0004609737,0.0002130917,0.0002939065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004345932,0.0002542334,0.9735802,0.002457648,0.0003294701,0.0002903736,0.005552393,0.0002422033,0.01569224,0.00001730028,0.0002522423,0.0008971442],"study_design_scores_gemma":[0.004791158,0.0007053505,0.932977,0.01271944,0.0003914474,0.0001525036,0.02104035,0.002199306,0.021325,0.00002503674,0.002030671,0.00164269],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992082,0.0000522123,0.0001280345,0.000007112163,0.0009327661,0.000793714,0.001353952,0.0000589327,0.004591297],"genre_scores_gemma":[0.9891244,0.00001504932,0.0001936232,0.000001212138,0.00003050128,0.000002370522,0.0003575,0.00005782564,0.0102175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5195976,"threshold_uncertainty_score":0.9996145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01504247142343279,"score_gpt":0.2054203721578529,"score_spread":0.1903779007344201,"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."}}