{"id":"W4394554921","doi":"10.6084/m9.figshare.21970673.v1","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; Oceanography; Geology; Ecology; Biology","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":[0.0007453876,0.001123446,0.0009911116,0.004073483,0.001748233,0.001547055,0.001915059,0.0007651785,0.05860537],"category_scores_gemma":[0.003649332,0.00123884,0.0009188512,0.01268931,0.0004322191,0.0006426384,0.001333409,0.0006692602,0.03237987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00833609,"about_ca_system_score_gemma":0.02038836,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9606308,"about_ca_topic_score_gemma":0.984889,"domain_scores_codex":[0.9988552,0.00004821522,0.0001061958,0.000199626,0.0005052399,0.0002854949],"domain_scores_gemma":[0.9957652,0.0003082461,0.0005052728,0.0004402837,0.00238322,0.0005977072],"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":[0.00008561208,0.00002819441,0.02353849,0.0006328939,0.00008687058,0.00004431718,0.0002450892,0.0004307016,0.0001807387,0.0003185893,0.9683254,0.006083086],"study_design_scores_gemma":[0.0002621804,0.00002514539,0.2910918,0.0004139115,0.00009317047,0.00004625858,0.0006573043,0.0005351496,0.0003986079,0.0002592567,0.7061622,0.00005509013],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009908822,0.00002619374,0.00003198763,0.00002470081,0.000006176415,0.00001533838,0.9977191,0.00005400718,0.001131568],"genre_scores_gemma":[0.004110455,0.0001062354,0.0002469805,0.0000346811,0.000004999089,0.000133498,0.9858475,0.00007123758,0.009444335],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05860537,"threshold_uncertainty_score":0.1960545,"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."}}