{"id":"W6928069984","doi":"10.34943/0b381b7b-cca5-4258-812a-42be38f09e64","title":"Burrard Inlet Hydrophone Deployed 2023-07-25","year":2023,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hydrophone; Inlet; Underwater; Data logger; Waveform; Fjord; Sound (geography); Ambient noise level","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":[0.001084494,0.001664892,0.001128359,0.002055689,0.001068462,0.001531147,0.002788465,0.001467753,0.03076954],"category_scores_gemma":[0.003640749,0.0004671546,0.000695096,0.004208242,0.000485703,0.000903297,0.001504,0.001490127,0.05966612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001981476,"about_ca_system_score_gemma":0.003533485,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.153419,"about_ca_topic_score_gemma":0.272055,"domain_scores_codex":[0.9991121,0.0001212292,0.00006807019,0.0002707716,0.0002777172,0.0001500216],"domain_scores_gemma":[0.9983202,0.0002501112,0.0001046969,0.0003826842,0.0007549712,0.0001873125],"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":[0.00006389583,0.00001802777,0.00140655,0.0002332679,0.00001815224,0.00003626848,0.00002835293,0.0004411738,0.0001731827,0.0004755828,0.9947706,0.002335045],"study_design_scores_gemma":[0.000111131,0.00001360481,0.006553958,0.0002022244,0.00001692918,0.00006047277,0.0001426287,0.0007432382,0.0004956393,0.001087113,0.9905413,0.00003165706],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002473796,0.00003608912,0.000113532,0.00004358247,0.00001622014,0.00000905362,0.998399,0.0002721204,0.0008629704],"genre_scores_gemma":[0.0005256344,0.00002274354,0.0003537784,0.00002451764,0.000003156967,0.00003365139,0.9982808,0.00005355113,0.0007021421],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.846581,"threshold_uncertainty_score":0.3050521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004841711320346172,"score_gpt":0.1996096934733853,"score_spread":0.1947679821530392,"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."}}