{"id":"W7163354920","doi":"10.14286/uln7kj","title":"SERC Chesapeake Bay Rivers Array","year":2023,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ocean Tracking Network","funders":"","keywords":"Chesapeake bay; Herring; Bay; Fish migration; Habitat; Estuary; Telemetry","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":[0.0007131467,0.0009935068,0.0007007078,0.002036198,0.0007263636,0.001674332,0.001772078,0.0009252381,0.03512892],"category_scores_gemma":[0.003112374,0.0004030502,0.0005032504,0.004430125,0.0002937112,0.0008407431,0.001215321,0.000901451,0.0446802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001470722,"about_ca_system_score_gemma":0.00234492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1117856,"about_ca_topic_score_gemma":0.1931799,"domain_scores_codex":[0.9993555,0.00008219947,0.00006679106,0.00022821,0.0001761493,0.00009101941],"domain_scores_gemma":[0.9982791,0.0002210063,0.0001998752,0.000345376,0.0007726128,0.0001820011],"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":[0.00005382234,0.00001335198,0.003621845,0.000263996,0.00002646033,0.00003007942,0.00003387101,0.0002019758,0.0001312333,0.0003813981,0.992494,0.002747912],"study_design_scores_gemma":[0.0001126513,0.00001173392,0.0182314,0.0001924086,0.00002505206,0.00003740918,0.0001216294,0.0005354927,0.0003695072,0.0005471796,0.9797877,0.00002782993],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002589731,0.00002670507,0.00004700471,0.00003148614,0.00001064415,0.000005482763,0.9987456,0.0001247956,0.0007492827],"genre_scores_gemma":[0.0005249786,0.00002107738,0.0001986124,0.00002482071,0.000003365489,0.00003170742,0.9984993,0.00003081023,0.0006652856],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1117856,"threshold_uncertainty_score":0.2222698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06317049084865278,"score_gpt":0.3351682996344688,"score_spread":0.271997808785816,"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."}}