{"id":"W6911101037","doi":"10.5066/p9cmu62c","title":"DIDSON video collection of Coastal Lake Erie Wetland, Lucas Co, Ohio in 2011","year":2020,"lang":"en","type":"dataset","venue":"USGS DOI Tool Production Environment","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fish <Actinopterygii>; Wildlife refuge; Sonar; Data set; Data file; Mark and recapture; Software; Wildlife; Data collection","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009356339,0.0008903414,0.001086654,0.0006958075,0.000184784,0.0000519407,0.0004687263,0.0005767779,0.01105925],"category_scores_gemma":[0.0003001021,0.0009836918,0.0002526519,0.000512896,0.0004319249,0.0004064186,0.000337339,0.001197619,0.0203342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009781502,"about_ca_system_score_gemma":0.0001846234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002862501,"about_ca_topic_score_gemma":0.004672776,"domain_scores_codex":[0.9940944,0.0004904975,0.001398121,0.001890079,0.001468225,0.0006586391],"domain_scores_gemma":[0.9969694,0.00005776237,0.001193087,0.001543198,0.0000385622,0.0001979751],"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":[0.0008965222,0.001108014,0.0005995659,0.0002745362,0.0001726912,0.00004108214,0.0001780634,0.001981527,0.003980468,0.000002848225,0.9904408,0.0003238222],"study_design_scores_gemma":[0.001265797,0.0004878692,0.004192032,0.00009085583,0.0002567273,0.00007022709,0.00008397476,0.00002214046,0.00526987,0.00001550856,0.9873759,0.0008690559],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003464888,0.000188338,0.00002272369,0.0005027133,0.001571602,0.00234306,0.9916837,0.0001052383,0.0001176984],"genre_scores_gemma":[0.001522677,0.00173372,0.0001857285,0.0000583268,0.001203547,0.0004303318,0.9928127,0.0001839965,0.001869007],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.009274954,"threshold_uncertainty_score":0.9992614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01465144678909906,"score_gpt":0.2266678993330663,"score_spread":0.2120164525439672,"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."}}