{"id":"W4318041446","doi":"10.7557/cage.6835","title":"Annual Report 2016","year":2023,"lang":"en","type":"article","venue":"CAGE – Centre for Arctic Gas Hydrate Environment and Climate Report Series","topic":"Offshore Engineering and Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Arctic Eider Society","funders":"","keywords":"Excellence; Relevance (law); Work (physics); Enhanced Data Rates for GSM Evolution; Quality (philosophy); Engineering management; Computer science; Engineering; Political science; Mechanical engineering; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003166849,0.00104459,0.0006886041,0.002973433,0.001112045,0.005321902,0.001922174,0.001751541,0.3983056],"category_scores_gemma":[0.008312535,0.0004851692,0.0006764237,0.003078421,0.0004851921,0.003077224,0.002164905,0.001975561,0.4519732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002761528,"about_ca_system_score_gemma":0.007439892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01328288,"about_ca_topic_score_gemma":0.01119521,"domain_scores_codex":[0.9967893,0.0002541698,0.0002520928,0.0003598508,0.002003304,0.000341197],"domain_scores_gemma":[0.9945462,0.0003240746,0.0002655408,0.0004837252,0.003766174,0.000614293],"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":[0.00004104377,0.00002629362,0.0003908586,0.0001128065,0.000003634846,0.00001929275,0.0000224849,0.00005478928,0.0001363863,0.003429355,0.9596884,0.03607463],"study_design_scores_gemma":[0.000003386598,0.000006377911,0.0005290334,0.00006381845,0.000001303105,0.00001740843,0.00002262188,0.00001648362,0.00005576152,0.0002705519,0.9990101,0.00000311757],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001599645,0.00859725,0.002593238,0.01858209,0.03595548,0.0006916159,0.1122087,0.002126654,0.8176452],"genre_scores_gemma":[0.004578026,0.007488432,0.001815243,0.002065585,0.003024194,0.000404024,0.05625682,0.0009747728,0.923393],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3983056,"threshold_uncertainty_score":0.858244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005855013756574956,"score_gpt":0.1844824361908754,"score_spread":0.1786274224343005,"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."}}