{"id":"W6908991521","doi":"10.34943/afe1b949-41b8-4b9c-a027-677deb5bc03e","title":"Fraser River Delta Upper Slope Imaging Rotary Sonar Deployed 2015-03-31","year":2015,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sonar; Underwater; Delta; Digital elevation model; Synthetic aperture sonar; Seabed; Side-scan sonar","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":[0.0007231644,0.001445537,0.0008026701,0.003443865,0.0008479325,0.001378639,0.002039253,0.0009924306,0.0150994],"category_scores_gemma":[0.003401397,0.0003851995,0.0005279082,0.005816479,0.0003660029,0.0007666806,0.001119521,0.0009974659,0.02497862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003082762,"about_ca_system_score_gemma":0.004690585,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4939582,"about_ca_topic_score_gemma":0.6583912,"domain_scores_codex":[0.9992203,0.00006487598,0.00005829149,0.0001447131,0.000350093,0.0001618547],"domain_scores_gemma":[0.9982742,0.0001538171,0.0001280468,0.0002634153,0.001046214,0.0001343732],"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":[0.0000481904,0.00001775233,0.00362376,0.0002573229,0.00002542793,0.0000599618,0.00004797114,0.0007898927,0.0001253616,0.000533625,0.9896192,0.0048515],"study_design_scores_gemma":[0.00005961841,0.00001129699,0.01461837,0.0003055266,0.00001786331,0.00007305491,0.0002428263,0.001137893,0.0004286436,0.0005916278,0.9824749,0.00003857088],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006049339,0.00008532839,0.0001241192,0.00006456441,0.00002229064,0.00001279848,0.9971327,0.0002951007,0.001658236],"genre_scores_gemma":[0.001311552,0.00005808059,0.000362393,0.00001982662,0.000004362621,0.00002730531,0.9969969,0.00003633488,0.001183345],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5060418,"threshold_uncertainty_score":0.9821662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008359200804037868,"score_gpt":0.2229618058999038,"score_spread":0.214602605095866,"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."}}