{"id":"W6908986997","doi":"10.34943/bdf8f1b4-5738-49dd-806d-f784d9ef9b66","title":"Bullseye Bottom Pressure Recorder Deployed 2009-09-06","year":2009,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ocean bottom; Seafloor spreading; Pressure sensor; Pressure measurement; Data logger; 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":[0.0008466404,0.001327338,0.0009434822,0.002455798,0.0008664425,0.001316873,0.002308245,0.0009826579,0.01272768],"category_scores_gemma":[0.002725157,0.0004753414,0.0004826454,0.003945165,0.0003528834,0.000848569,0.001140466,0.001217389,0.02244858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003534865,"about_ca_system_score_gemma":0.005281898,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5672014,"about_ca_topic_score_gemma":0.7351002,"domain_scores_codex":[0.9990989,0.00005253545,0.00007159014,0.0002343514,0.0004037858,0.000138859],"domain_scores_gemma":[0.9974681,0.0001193364,0.0001457196,0.0004151126,0.001622447,0.0002292823],"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":[0.00006926511,0.00002704838,0.003233931,0.00009369951,0.00002481107,0.00003612139,0.00002855282,0.0004209501,0.0002178714,0.0002986971,0.9929893,0.002559756],"study_design_scores_gemma":[0.0001400276,0.0000201609,0.03982364,0.0001388315,0.00002773489,0.00006180543,0.0002066769,0.001982928,0.001306616,0.0005147334,0.9557152,0.00006170395],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009356752,0.00002763873,0.000123984,0.00006342596,0.00002472115,0.00001604475,0.9973215,0.0003018323,0.001185053],"genre_scores_gemma":[0.001040248,0.00001813804,0.000307763,0.00001895888,0.000004013114,0.00002372707,0.9972603,0.00003394596,0.001292857],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4327986,"threshold_uncertainty_score":0.8706949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005889180636332607,"score_gpt":0.2074481824224834,"score_spread":0.2015590017861508,"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."}}