{"id":"W7132864001","doi":"","title":"Assessment of the Integrity of Fish Communities In The Great Lakes Area: A Bayesian Perspective","year":2021,"lang":"","type":"dissertation","venue":"TSpace","topic":"Water Resources and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Probabilistic logic; Fish <Actinopterygii>; Bayesian probability; State of the Environment; Perspective (graphical); Bayesian inference; Fish stock; Bayesian network; Baseline (sea)","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":[],"consensus_categories":[],"category_scores_codex":[0.001060305,0.0002634221,0.0005575205,0.00005334272,0.0004465646,0.0001014402,0.001336076,0.0002441259,0.0004103391],"category_scores_gemma":[0.0002145919,0.000160028,0.0003339609,0.0007525777,0.0007605531,0.0000882082,0.0001253908,0.001086615,3.134946e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002245637,"about_ca_system_score_gemma":0.0005877902,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2974963,"about_ca_topic_score_gemma":0.6479759,"domain_scores_codex":[0.9963796,0.00171063,0.000416517,0.0002322411,0.0009668319,0.0002941762],"domain_scores_gemma":[0.9974869,0.0005636415,0.000814456,0.0006455348,0.0004559133,0.00003347941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002454483,0.0002160948,0.03420106,0.0001559115,0.00007500774,0.00000323153,0.9481437,0.00003879718,0.0000471862,0.01656731,0.0003640518,0.0001630659],"study_design_scores_gemma":[0.0001623203,0.00006049994,0.2067768,0.0009306759,0.00006491633,7.524933e-7,0.7876846,0.0001169697,0.0001953939,0.0006049942,0.003269283,0.0001328612],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.900653,0.0005808243,0.00001106907,0.005808977,0.0002644311,0.0005132438,0.00006256613,0.000004375329,0.09210151],"genre_scores_gemma":[0.9902232,0.0008747009,0.00003002306,0.0001532688,0.00005907915,0.00003294543,0.00003037233,0.00001230954,0.008584126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3504796,"threshold_uncertainty_score":0.7071817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03668422080172362,"score_gpt":0.3683744367920375,"score_spread":0.3316902159903139,"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."}}