{"id":"W2097024039","doi":"","title":"Acoustic remote sensing of Arctic Sea Ice from long term soundscape measurements","year":2013,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sea ice; Arctic; Arctic ice pack; Arctic geoengineering; Arctic sea ice decline; Context (archaeology); Environmental science; Climatology; Arctic ecology; Oceanography; Sea ice concentration; Global warming; Climate change; Marine ecosystem; Drift ice; Physical geography; Geography; Geology; Sea ice thickness; Ecosystem; Ecology","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":[0.0002917751,0.0005812656,0.0002661014,0.001452708,0.0001945026,0.0006241294,0.0004650767,0.0003067977,0.0006838099],"category_scores_gemma":[0.0006133901,0.000142949,0.0003132632,0.001408732,0.000153995,0.0003150036,0.0004296062,0.0002514782,0.0004062486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002663857,"about_ca_system_score_gemma":0.0006359169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04758673,"about_ca_topic_score_gemma":0.07511617,"domain_scores_codex":[0.9997701,0.00002469992,0.00001002133,0.00006714097,0.00008805487,0.00003997575],"domain_scores_gemma":[0.9997687,0.00004939466,0.00002993918,0.00002390067,0.0001016303,0.00002648158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0007405384,0.0003419463,0.1813541,0.0006964381,0.0003593941,0.0007325519,0.0007939501,0.05488605,0.4013608,0.0006716494,0.002872387,0.3551902],"study_design_scores_gemma":[0.00003030109,0.0001700912,0.8309007,0.00008539062,0.0001587305,0.000220975,0.0004545681,0.1441407,0.01954214,0.0003149329,0.003917936,0.00006351329],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9554477,0.0008428157,0.03237345,0.00005174811,0.00008800248,0.00005143155,0.004875618,0.0005112667,0.005757969],"genre_scores_gemma":[0.970993,0.0006213394,0.02076886,0.00003269177,0.00007545113,0.00004806167,0.006207862,0.00003942647,0.001213276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04758673,"threshold_uncertainty_score":0.09461951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02412017674704436,"score_gpt":0.2139934342842086,"score_spread":0.1898732575371642,"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."}}