{"id":"W2997254526","doi":"","title":"Underwater acoustic energy generated by drifting ice in the Scotia Sea","year":2010,"lang":"en","type":"article","venue":"AGUFM","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Underwater; Sea ice; Nova scotia; Geology; Oceanography; Meteorology; Remote sensing; Geography","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":[0.0001068574,0.0001838223,0.0001816404,0.0005694865,0.000636915,0.00046071,0.0002123104,0.0002485512,0.0009661779],"category_scores_gemma":[0.0003660254,0.0001249974,0.0001365148,0.000606275,0.0004012285,0.0002103008,0.0005240963,0.0001807125,0.0001572864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001822343,"about_ca_system_score_gemma":0.001010493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4211828,"about_ca_topic_score_gemma":0.5103769,"domain_scores_codex":[0.9999419,0.000006735502,0.000003090795,0.00000956067,0.00001576357,0.00002288882],"domain_scores_gemma":[0.9998583,0.00002806602,0.00002386218,0.000004643893,0.00005415441,0.00003104383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002605876,0.000086641,0.8556542,0.0001832031,0.0001398297,0.005139583,0.002326227,0.01625872,0.09335782,0.0005513029,0.001266473,0.02243011],"study_design_scores_gemma":[0.00001420698,0.0000525608,0.9937033,0.000009854638,0.00001545861,0.00008790198,0.001265315,0.003671714,0.0007540542,0.00004713465,0.0003709614,0.000007503222],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988443,0.00004564062,0.00002582795,0.00001763152,0.000003980414,0.000002246949,0.00009482161,0.000001642576,0.0009640351],"genre_scores_gemma":[0.9994981,0.00003048145,0.0000265347,0.000004974304,0.000001709952,0.000001362533,0.000049948,0.000001295754,0.000385608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4211828,"threshold_uncertainty_score":0.8374624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01434079367820299,"score_gpt":0.2323961117529429,"score_spread":0.2180553180747399,"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."}}