{"id":"W4392607401","doi":"10.3289/tr_2d-mcs_so294","title":"Technical Report for Raw 2D MCS Reflection Data, R/V Sonne Cruise 294, Vancouver (Canada) – Port Hueneme (USA), 13/09/22 – 27/10/23","year":2024,"lang":"en","type":"report","venue":"","topic":"Offshore Engineering and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sonne; Cruise; Raw data; Port (circuit theory); Reflection (computer programming); Oceanography; Engineering; Geology; Computer science; Electrical engineering","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":[0.001757387,0.001048173,0.0004002572,0.00303586,0.001428035,0.001455815,0.001281716,0.0005355702,0.05509473],"category_scores_gemma":[0.003689223,0.0006538623,0.0004057225,0.00420332,0.0004110262,0.0008414496,0.00115452,0.0008530469,0.04819402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002535763,"about_ca_system_score_gemma":0.01400914,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.684134,"about_ca_topic_score_gemma":0.7910486,"domain_scores_codex":[0.9975703,0.0000746096,0.00008786313,0.0002229835,0.001867954,0.0001761858],"domain_scores_gemma":[0.9963437,0.0001696784,0.0001221302,0.0003856808,0.002781133,0.0001978048],"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":[0.000301802,0.0001428474,0.02141793,0.0005265208,0.00008318527,0.0003711613,0.0004838916,0.005053494,0.01695168,0.002047408,0.8351381,0.117482],"study_design_scores_gemma":[0.00009509281,0.0000539064,0.04729716,0.0001353541,0.00002891412,0.0001463912,0.0005448758,0.003714825,0.009858532,0.0006220854,0.9374291,0.00007374092],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.01985759,0.0003022125,0.02436509,0.0005544656,0.0003322012,0.0009594287,0.8735804,0.004506487,0.07554217],"genre_scores_gemma":[0.0208332,0.0004197669,0.04523435,0.0001061758,0.00006011134,0.0007936642,0.8815033,0.00251505,0.04853433],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.315866,"threshold_uncertainty_score":0.6354524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03784050068307381,"score_gpt":0.2873290088320865,"score_spread":0.2494885081490126,"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."}}