{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000262051,0.0005279052,0.0005195579,0.00001236065,0.0004388435,0.00009074675,0.001131283,0.001270444,0.00006281443],"category_scores_gemma":[0.0000820135,0.000488435,0.0003503448,0.0000517368,0.0004476511,0.000002245599,0.0003783073,0.0007635046,0.000005840623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001053208,"about_ca_system_score_gemma":0.001369508,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1174816,"about_ca_topic_score_gemma":0.2575628,"domain_scores_codex":[0.9975878,0.00007124533,0.0003646935,0.0008002548,0.0004007877,0.0007751934],"domain_scores_gemma":[0.9978142,0.00003517919,0.0003832417,0.001354063,0.00007612123,0.0003371883],"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":[0.00001260347,0.00002673295,0.00004547743,0.00007457753,0.0003256797,0.00003823078,0.000003513788,0.0001626025,0.00003105633,1.546849e-7,0.9981284,0.001150986],"study_design_scores_gemma":[0.0004091575,0.00009320516,0.0001441086,0.00006900013,0.0001054196,0.00001708221,0.00003448722,0.0001909506,0.00003712342,0.000005326926,0.998328,0.0005661887],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009166419,0.007473235,0.000246222,0.0003878615,0.001541472,0.0002135188,0.9891587,0.00003734056,0.00002495537],"genre_scores_gemma":[0.00333401,0.005873436,0.0002397951,0.001805889,0.002037192,0.000009350656,0.9851602,0.00005796073,0.001482217],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1400812,"threshold_uncertainty_score":0.9997568,"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."}}