{"id":"W4394113626","doi":"10.6084/m9.figshare.21970673","title":"Juvenile Atlantic Salmon Surveys upper Credit River, Ontario","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Juvenile; Fishery; Geography; Biology; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006461528,0.0008687496,0.0008184583,0.003076107,0.001473285,0.001262942,0.001730792,0.0005256181,0.05363511],"category_scores_gemma":[0.003225492,0.0009243063,0.000667624,0.01155782,0.0003368197,0.0005622987,0.001096894,0.0005812423,0.02680119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007977188,"about_ca_system_score_gemma":0.01722947,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.956885,"about_ca_topic_score_gemma":0.9835979,"domain_scores_codex":[0.9990937,0.00004245503,0.00009296053,0.000177268,0.0003956555,0.0001979458],"domain_scores_gemma":[0.9964149,0.0002492331,0.0004092604,0.0003329749,0.002167221,0.0004265007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006929904,0.00001816622,0.01661487,0.000637021,0.00006324425,0.00003975231,0.0002232585,0.00030695,0.0001624068,0.0004107777,0.9757442,0.005710104],"study_design_scores_gemma":[0.000202417,0.00001949221,0.2470106,0.0004132432,0.00007509146,0.00004076256,0.0005923555,0.0004120494,0.0003610831,0.0003074114,0.7505203,0.00004507286],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008764306,0.00003458275,0.00004243897,0.00003007428,0.000006383393,0.00001382224,0.9974497,0.00005589563,0.001490685],"genre_scores_gemma":[0.00428432,0.0001260968,0.0002885361,0.00003097298,0.000005264963,0.0001196324,0.9860306,0.00007509454,0.009039419],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05363511,"threshold_uncertainty_score":0.1794273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02734788475387201,"score_gpt":0.2335694973929424,"score_spread":0.2062216126390704,"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."}}