{"id":"W6909089934","doi":"10.34943/11fa50f4-6404-4fab-be5b-4891ff023fd5","title":"Barkley Canyon Mid-East Multibeam Non-rotating Sonar Deployed 2009-09-10","year":2010,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Canyon; Sonar; Benthic zone; Software deployment; Point (geometry); Water column","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":[0.0007055807,0.00169999,0.0009683141,0.003091881,0.0007916847,0.001221004,0.002300881,0.001050182,0.01219319],"category_scores_gemma":[0.002443429,0.0004711139,0.0004559066,0.005810804,0.0003605406,0.0006582365,0.0009401243,0.00115403,0.02076659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003395807,"about_ca_system_score_gemma":0.004869116,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5459657,"about_ca_topic_score_gemma":0.7154397,"domain_scores_codex":[0.9992563,0.00005897877,0.00005058221,0.0001436909,0.0003249858,0.0001654172],"domain_scores_gemma":[0.9981166,0.0001403468,0.0001371211,0.0003011508,0.001133131,0.0001717969],"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":[0.00007350539,0.00002385103,0.003474628,0.0002169865,0.00002410812,0.00004672991,0.00003772441,0.000765932,0.000178522,0.0003242866,0.9909862,0.003847719],"study_design_scores_gemma":[0.000116002,0.00001941506,0.02552084,0.000224275,0.00002362151,0.00006020434,0.0002795281,0.001573766,0.0007947941,0.0004130705,0.9709262,0.00004828595],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008252771,0.00006003815,0.00009396533,0.00004958368,0.00002270669,0.00001517548,0.9973706,0.0002215299,0.001341182],"genre_scores_gemma":[0.001326685,0.00003790235,0.000325019,0.00001497946,0.000004214687,0.00002963019,0.9971173,0.00003029078,0.001114036],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5459657,"threshold_uncertainty_score":0.9134164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007190177481962294,"score_gpt":0.2124219741555485,"score_spread":0.2052317966735862,"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."}}