{"id":"W6976606019","doi":"10.60692/3k0xe-ryf79","title":"Planck's Dusty GEMS","year":2019,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Antenna Design and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Atomic carbon; Galaxy; Excitation; Carbon fibers; Trace gas; Spectral line; Spectroscopy; Emission spectrum","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":[],"consensus_categories":[],"category_scores_codex":[0.001465629,0.001807977,0.0009615861,0.002114498,0.0009603291,0.002981615,0.001414806,0.001216497,0.07940099],"category_scores_gemma":[0.002313277,0.000994503,0.0008359202,0.00331176,0.0005336885,0.003503149,0.003759739,0.001651235,0.06301539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001103203,"about_ca_system_score_gemma":0.001400631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00565634,"about_ca_topic_score_gemma":0.001788287,"domain_scores_codex":[0.999199,0.0001203696,0.00003843953,0.0002628574,0.0002424475,0.0001368844],"domain_scores_gemma":[0.9991486,0.0001002986,0.0000943023,0.0003800085,0.0001293069,0.000147375],"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":[0.0001629395,0.00002360721,0.002370499,0.0006603745,0.0001176868,0.000283265,0.0003652253,0.001987196,0.00171593,0.04901404,0.8131214,0.1301778],"study_design_scores_gemma":[0.00002431631,0.0000077946,0.002874746,0.00004705482,0.00001657868,0.0001233187,0.00004330364,0.0008542503,0.0007267508,0.01318784,0.9820752,0.00001888173],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.01652322,0.02491022,0.05136355,0.01840419,0.004614539,0.0003042063,0.475242,0.03575491,0.3728833],"genre_scores_gemma":[0.1948538,0.03348111,0.08742598,0.003519765,0.00400048,0.001139477,0.4739468,0.01038779,0.1912447],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07940099,"threshold_uncertainty_score":0.2656227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01291853124660684,"score_gpt":0.1539069813700331,"score_spread":0.1409884501234263,"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."}}