{"id":"W1533972787","doi":"10.48550/arxiv.1410.8418","title":"Managing Hardware Configurations and Data Products for the Canadian Hydrogen Intensity Mapping Experiment","year":2014,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Radio Astronomy Observations and Technology","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Intensity mapping; Software; Telescope; Intensity (physics); Computer science; Energy (signal processing); COSMIC cancer database; Radio telescope; Cosmic ray; SIGNAL (programming language); Remote sensing; Telecommunications; Physics; Astronomy; Geography; Optics; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005587188,0.002450737,0.001107586,0.005480475,0.003468546,0.006532868,0.007918431,0.001095145,0.0145576],"category_scores_gemma":[0.01622816,0.002267197,0.001127699,0.007482954,0.001681455,0.00575863,0.004582676,0.003438826,0.008412488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01224691,"about_ca_system_score_gemma":0.01289472,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4361121,"about_ca_topic_score_gemma":0.429815,"domain_scores_codex":[0.9933572,0.0004150844,0.0005063771,0.001271972,0.003679388,0.0007699889],"domain_scores_gemma":[0.9869906,0.001527185,0.0005674213,0.004892014,0.004589743,0.001432945],"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":[0.002101464,0.0003549213,0.02830243,0.0007347656,0.0003646043,0.001039708,0.002356744,0.01953357,0.02324828,0.02235381,0.6290669,0.2705427],"study_design_scores_gemma":[0.0009543742,0.0002090506,0.02703794,0.0003056767,0.0003523222,0.0005289175,0.001214557,0.1288242,0.09333599,0.02078565,0.7254486,0.00100279],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.0738832,0.002347257,0.1506593,0.002268628,0.0007032242,0.001631643,0.1571371,0.536501,0.07486872],"genre_scores_gemma":[0.3590842,0.002226661,0.2378787,0.00168145,0.0001908851,0.001507383,0.315465,0.0606124,0.02135331],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.5638878,"threshold_uncertainty_score":0.8671473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1086622994991022,"score_gpt":0.2078538659903027,"score_spread":0.09919156649120042,"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."}}