{"id":"W6947602015","doi":"10.4224/40002001","title":"Transport Canada RPAS R&D yearly progress report","year":2020,"lang":"en","type":"report","venue":"NPARC","topic":"Animal Vocal Communication and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"National Research Council Canada; Transport Canada","keywords":"Mandate; Scope (computer science); Airworthiness; Subject matter; Government (linguistics)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01031847,0.001274862,0.0004472302,0.004223285,0.003453824,0.006144966,0.002320006,0.001559681,0.06370498],"category_scores_gemma":[0.005734095,0.0006706557,0.0008182941,0.002984237,0.0008846135,0.001464943,0.001819852,0.00187233,0.04225959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0210743,"about_ca_system_score_gemma":0.1675711,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7790028,"about_ca_topic_score_gemma":0.7263775,"domain_scores_codex":[0.9874908,0.0004507756,0.0002130264,0.0005171937,0.0102902,0.001037919],"domain_scores_gemma":[0.9804971,0.0004021657,0.0003749283,0.0006541283,0.01565741,0.002414248],"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":[0.0001275044,0.0002046865,0.001873603,0.0003051877,0.00001879036,0.0001032077,0.000154461,0.0006621666,0.002296747,0.00573088,0.9296463,0.05887646],"study_design_scores_gemma":[0.00001420567,0.00005465083,0.003269913,0.00006198203,0.00001062491,0.0000324988,0.000135813,0.0002437201,0.002212972,0.0002136516,0.9937326,0.00001741531],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01180157,0.004782685,0.01301526,0.0154316,0.004821579,0.004380444,0.2146911,0.00537935,0.7256963],"genre_scores_gemma":[0.02355262,0.004484043,0.02016291,0.001712726,0.0002248676,0.001427283,0.1450044,0.00108759,0.8023435],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2209972,"threshold_uncertainty_score":0.4445974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0503764245586413,"score_gpt":0.3169575649913218,"score_spread":0.2665811404326805,"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."}}