{"id":"W3017112335","doi":"","title":"Acoustics Week in Canada 2019 - Post Conference Report: Final Report","year":2019,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Acoustics; Engineering; Geology; Environmental science; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002432102,0.0001893014,0.0002375492,0.0002267513,0.0001132715,0.000195178,0.0005754479,0.0001081065,0.00007716256],"category_scores_gemma":[0.0002541636,0.0002073909,0.00003006367,0.0003899756,0.00005091124,0.0002976232,0.00006389264,0.0003599752,0.00006106856],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001126489,"about_ca_system_score_gemma":0.03142413,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9667926,"about_ca_topic_score_gemma":0.9632326,"domain_scores_codex":[0.9980811,0.00002672746,0.0004688469,0.0004971094,0.0003151911,0.0006109936],"domain_scores_gemma":[0.9981861,0.0000501158,0.0002173047,0.0007212964,0.0004037851,0.0004214649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004707177,0.0001846218,0.2031154,0.0007811342,0.0001459966,0.1526973,0.001699878,0.03714821,0.05342299,0.006376959,0.2561638,0.2882166],"study_design_scores_gemma":[0.001074475,0.000192633,0.2996942,0.0004214064,0.00006069256,0.03151689,0.001016589,0.6477187,0.0005755369,0.00210312,0.01351965,0.002106178],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8041112,0.0001427697,0.1753804,0.002304708,0.008217827,0.0003808723,0.0001263582,0.000100914,0.00923486],"genre_scores_gemma":[0.9820485,0.000009676172,0.01110023,0.0006489428,0.00009182761,0.000003693178,0.00004038591,0.00001569944,0.006041095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6105705,"threshold_uncertainty_score":0.9740668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01229069880776276,"score_gpt":0.2035263165727005,"score_spread":0.1912356177649377,"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."}}