{"id":"W6927218085","doi":"10.26008/1912/bco-dmo.809945.1","title":"Winter survey data from Lake Erie from 2018-2019","year":2020,"lang":"en","type":"dataset","venue":"Open Access Server of the Woods Hole Scientific Community (Woods Hole Scientific Community)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Division of Ocean Sciences","keywords":"Bay; Aerial survey; Survey data collection; Survey research; Survey methodology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008031589,0.001145711,0.0008826081,0.002440585,0.000481798,0.0008773102,0.001635607,0.0007963951,0.01583601],"category_scores_gemma":[0.002178388,0.0006216857,0.000766365,0.00541407,0.0002010141,0.0006417536,0.001462997,0.0007802035,0.01440096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001482085,"about_ca_system_score_gemma":0.002556032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.205699,"about_ca_topic_score_gemma":0.3508672,"domain_scores_codex":[0.9994889,0.00006197261,0.0000711728,0.0001286807,0.0001345839,0.0001146194],"domain_scores_gemma":[0.9989654,0.0001159994,0.0001521968,0.0001487855,0.0005022966,0.0001153118],"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":[0.0001264595,0.00003345334,0.009110065,0.0004726821,0.00009865253,0.00005122919,0.000080449,0.000405957,0.0002383987,0.0002586764,0.9859076,0.003216279],"study_design_scores_gemma":[0.0003350887,0.00002913358,0.118982,0.0004109759,0.0000914963,0.0000783625,0.000548808,0.0005582588,0.0005780492,0.0003434079,0.8779853,0.00005901803],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001506876,0.00003981738,0.00004121333,0.00005224197,0.00001519418,0.000008029862,0.9978153,0.0001037656,0.0004176654],"genre_scores_gemma":[0.001221423,0.00003587898,0.0001467962,0.00002991963,0.0000047068,0.00005346655,0.9976949,0.00002686368,0.0007860195],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.205699,"threshold_uncertainty_score":0.4090034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2942079646672131,"score_gpt":0.4057122184284571,"score_spread":0.111504253761244,"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."}}