{"id":"W6965626200","doi":"10.34943/f713d189-568f-48b4-bb96-aebf04e3b4b0","title":"Bullseye Hydrophone Deployed 2014-05-24","year":2014,"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; Data logger; Waveform; Seafloor spreading; Sound (geography); Ocean bottom","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","research_integrity"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.001106426,0.001810784,0.001831261,0.00008139577,0.0007809767,0.0002687364,0.002380214,0.001817976,0.0005368658],"category_scores_gemma":[0.00009252605,0.001902666,0.001027876,0.0009457504,0.0004739487,0.0001435517,0.000610951,0.003681854,0.0002540312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003109047,"about_ca_system_score_gemma":0.003963621,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8017333,"about_ca_topic_score_gemma":0.9196161,"domain_scores_codex":[0.9915463,0.0004342117,0.001229662,0.001915726,0.002276425,0.002597618],"domain_scores_gemma":[0.9934424,0.0004995434,0.001212764,0.003299476,0.0002833125,0.001262511],"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":[0.00003678184,0.00007646306,0.0000345916,0.0001936002,0.0008080164,0.0001517195,0.00001459709,0.01617605,0.000002067122,0.000001413971,0.9824393,0.00006537472],"study_design_scores_gemma":[0.001028874,0.00006357633,0.00003401344,0.0002032555,0.0006220012,0.00005454886,0.00004757851,0.009656155,0.000003326163,0.00001107577,0.9863438,0.001931767],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008885023,0.002604401,0.000123882,0.0002723302,0.006580463,0.0007726313,0.9891657,0.000369538,0.00002219024],"genre_scores_gemma":[0.0005468663,0.001803292,0.000232969,0.00682356,0.004917185,0.00002749158,0.983615,0.0007180893,0.001315548],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1178828,"threshold_uncertainty_score":0.9994779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005007386391135528,"score_gpt":0.1924524510215192,"score_spread":0.1874450646303837,"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."}}