{"id":"W6946480962","doi":"10.34943/c3a48904-644f-4c03-8649-d2368fa5958c","title":"Patricia Bay Hydrophone Deployed 2019-03-11","year":2019,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hydrophone; Bay; Underwater; Sound (geography); Data logger; Software deployment; Waveform","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":[0.0007617093,0.001515829,0.000779431,0.002650273,0.0009519092,0.001471635,0.002149878,0.0009025834,0.02084679],"category_scores_gemma":[0.002856842,0.0004039363,0.0004725834,0.005369694,0.0004270841,0.0008773165,0.001395603,0.001210254,0.03847697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003088553,"about_ca_system_score_gemma":0.005162958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4800416,"about_ca_topic_score_gemma":0.6040992,"domain_scores_codex":[0.9990035,0.00007509998,0.00006100637,0.0002194533,0.0004540071,0.0001871015],"domain_scores_gemma":[0.9979321,0.0001224799,0.0001066023,0.0003521763,0.001316085,0.0001706532],"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":[0.00004484592,0.00001501238,0.001953099,0.0001083299,0.00001314762,0.00002972145,0.00003005675,0.0004422191,0.000151988,0.0004105703,0.9934335,0.003367487],"study_design_scores_gemma":[0.00008565111,0.00001527067,0.02020436,0.000150535,0.00001326107,0.0000522617,0.0002430354,0.001512631,0.0006264568,0.0007230761,0.9763269,0.00004659573],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000578096,0.00002909454,0.0001607549,0.00005837407,0.00003094186,0.00001629461,0.9968155,0.0004167717,0.001894061],"genre_scores_gemma":[0.001130791,0.00002385809,0.0003714731,0.00001772918,0.00000614162,0.00004024752,0.9967642,0.00006542189,0.001580242],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4800416,"threshold_uncertainty_score":0.9544949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006826044060246358,"score_gpt":0.2040424651507095,"score_spread":0.1972164210904631,"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."}}