{"id":"W1984211061","doi":"10.12789/geocanj.2013.40.0010","title":"Canada GEESE 2: Visualization of Integrated Marine Geoscience Data for Canadian and Proximal Waters","year":2013,"lang":"fr","type":"article","venue":"Geoscience Canada","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Side-scan sonar; Geology; Oceanography; Library science; Marine geology; Archaeology; File Transfer Protocol; Geological survey; Geography; Sonar; Computer science; World Wide Web; Paleontology; The Internet","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005632031,0.00134007,0.0007163883,0.004470385,0.001483862,0.003126688,0.001422226,0.0004952708,0.1076646],"category_scores_gemma":[0.002765119,0.0005587675,0.0009054293,0.007139959,0.0004235162,0.001431221,0.002375632,0.00116882,0.01479315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004779802,"about_ca_system_score_gemma":0.01949023,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8875431,"about_ca_topic_score_gemma":0.9435925,"domain_scores_codex":[0.9994364,0.00002429916,0.0000234498,0.00008559808,0.0003118814,0.0001183009],"domain_scores_gemma":[0.9985959,0.0001172547,0.00003759028,0.0001126623,0.0009306254,0.0002058514],"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":[0.0002157102,0.00003164443,0.004997595,0.0003297466,0.0001067803,0.0002932693,0.0009265098,0.002212245,0.003054392,0.003538704,0.9368259,0.04746749],"study_design_scores_gemma":[0.000199018,0.0000182603,0.0201578,0.0002771542,0.00006584974,0.0001421149,0.0009009846,0.01111893,0.003024005,0.003691029,0.9602286,0.0001762256],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.01376407,0.000739695,0.02121133,0.001753138,0.0004765207,0.0005472447,0.8214886,0.06042195,0.07959744],"genre_scores_gemma":[0.1135108,0.002961228,0.1334694,0.0008835696,0.0001319754,0.0009806319,0.6458413,0.03108312,0.07113786],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1124569,"threshold_uncertainty_score":0.3601738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02430969223827013,"score_gpt":0.2655500842790474,"score_spread":0.2412403920407772,"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."}}