{"id":"W6909108834","doi":"10.34943/f3a1410e-63ab-4d3c-bee8-1a62d6603b7b","title":"China Creek Hydrophone Deployed 2020-03-09","year":2020,"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; Underwater; Sound (geography); Data logger; China; 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":[0.0007032687,0.001734979,0.0008118222,0.002447314,0.0009912981,0.001316863,0.002086816,0.0009414412,0.01979839],"category_scores_gemma":[0.002306442,0.0003852665,0.0004291326,0.005180128,0.000479078,0.0009126237,0.001250105,0.001042769,0.03052149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003298335,"about_ca_system_score_gemma":0.006544561,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5403068,"about_ca_topic_score_gemma":0.6679723,"domain_scores_codex":[0.9990526,0.00006792548,0.00005115904,0.0001961164,0.0004347084,0.000197462],"domain_scores_gemma":[0.9981648,0.00009215162,0.00007862887,0.000257837,0.00122456,0.0001820264],"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":[0.00004951053,0.00001722531,0.002301551,0.0001146245,0.00001220252,0.00003111882,0.00003334234,0.0005389962,0.0001988574,0.000428145,0.9926696,0.003604885],"study_design_scores_gemma":[0.00009751304,0.00001758647,0.02212432,0.0001565656,0.00001551438,0.00005191335,0.000285861,0.002004373,0.0007890757,0.0007259451,0.9736754,0.00005593138],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008449484,0.00003783332,0.0001791233,0.00006347973,0.00003999251,0.00002153298,0.9958975,0.0004415032,0.002474059],"genre_scores_gemma":[0.001470229,0.00002643006,0.0003765284,0.0000261665,0.000006480914,0.00004316937,0.9963632,0.00005838733,0.001629342],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5403068,"threshold_uncertainty_score":0.9248008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00533899210179751,"score_gpt":0.1940686215527274,"score_spread":0.1887296294509299,"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."}}