{"id":"W7133283047","doi":"","title":"Marine RD&D Program","year":2019,"lang":"en","type":"other","venue":"Federal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du Canada","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Public Works and Government Services Canada; Transport Canada","keywords":"Noise (video); Offset (computer science); Noise control; Range (aeronautics); Measure (data warehouse); Underwater","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002365371,0.0009028564,0.0005466815,0.002998407,0.002986194,0.00505508,0.002498484,0.00124871,0.3581212],"category_scores_gemma":[0.004053015,0.0003894022,0.0006038293,0.002717578,0.0006169751,0.001119528,0.002721847,0.001210055,0.1724565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01203368,"about_ca_system_score_gemma":0.03503265,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2183246,"about_ca_topic_score_gemma":0.2924883,"domain_scores_codex":[0.9976623,0.0001296858,0.00005831411,0.0003011168,0.001516446,0.0003321746],"domain_scores_gemma":[0.9933625,0.0002005472,0.0001153526,0.0005742414,0.004363417,0.00138382],"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":[0.0001591304,0.0001090471,0.002025046,0.0002098629,0.00001161998,0.000136669,0.00009321033,0.000310694,0.00123536,0.01465453,0.8121675,0.1688874],"study_design_scores_gemma":[0.000006668473,0.00001613007,0.001105864,0.00003143516,0.000002611519,0.00003303295,0.00005830132,0.0001272215,0.0003689039,0.0002457153,0.9980001,0.000004028008],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003229126,0.002305655,0.00424123,0.01081708,0.00294022,0.0004914113,0.02580833,0.004170363,0.9459966],"genre_scores_gemma":[0.01050346,0.002568863,0.003990863,0.001461795,0.0003126359,0.0001256197,0.01525246,0.0006319691,0.9651523],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7816755,"threshold_uncertainty_score":0.9155622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008123329639062695,"score_gpt":0.2410117947748308,"score_spread":0.2328884651357681,"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."}}