{"id":"W6946821065","doi":"10.34943/b53ee73a-b2d1-4368-8103-f4310b7f4211","title":"Hecate Strait Hydrophone Deployed 2014-06-30","year":2017,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hydrophone; Underwater; Data logger; Waveform; Sound (geography); Software deployment","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":[0.0009763463,0.001666603,0.0008607595,0.002655289,0.0007573302,0.001256413,0.002044689,0.001191717,0.01052055],"category_scores_gemma":[0.003171231,0.0003406827,0.0006601369,0.003900289,0.0005690378,0.001062725,0.001480878,0.001279027,0.02333533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002171796,"about_ca_system_score_gemma":0.003700192,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09550804,"about_ca_topic_score_gemma":0.2019257,"domain_scores_codex":[0.9990948,0.0001023738,0.00008367148,0.0002141128,0.0003524986,0.0001524708],"domain_scores_gemma":[0.9986789,0.0001760099,0.0001038143,0.0002895477,0.000588738,0.000163015],"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":[0.0001313435,0.0000544419,0.004123781,0.0004174548,0.00004192418,0.0001011448,0.00007292256,0.001110986,0.0004589089,0.0009259895,0.9864289,0.006132157],"study_design_scores_gemma":[0.0001178705,0.00003311997,0.01440713,0.0002302082,0.00003017699,0.0001518795,0.0003207091,0.002294371,0.001360385,0.001374469,0.9796312,0.00004835919],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001580955,0.00009459392,0.0002672194,0.0001242173,0.00004311432,0.00002623834,0.9956033,0.0006142933,0.00164606],"genre_scores_gemma":[0.0014278,0.00004352064,0.0003518419,0.00002800382,0.00000511142,0.00003540977,0.9972317,0.0000384836,0.0008381414],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.904492,"threshold_uncertainty_score":0.1899042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008027624169892873,"score_gpt":0.239060225859562,"score_spread":0.2310326016896692,"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."}}