{"id":"W4380590065","doi":"10.4271/2023-01-1377","title":"NRC’s ICE-MACR 2018-2023: What Has Been Learned So Far","year":2023,"lang":"en","type":"article","venue":"SAE International Journal of Advances and Current Practices in Mobility","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Icing; Turbofan; Gas compressor; Engineering; Ice crystals; Meteorology; Aerospace engineering; Environmental science; Icing conditions; Casing; Geology; Mechanical engineering; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.01471184,0.0009159161,0.001224786,0.001687805,0.00181027,0.006790051,0.003548919,0.004136156,0.02199124],"category_scores_gemma":[0.02113975,0.0003486809,0.0008073301,0.002103777,0.00263176,0.008293931,0.002756192,0.004120335,0.02120635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004603798,"about_ca_system_score_gemma":0.02262773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06584724,"about_ca_topic_score_gemma":0.06439667,"domain_scores_codex":[0.9936593,0.0008321067,0.0003672847,0.0005869805,0.003729128,0.0008251857],"domain_scores_gemma":[0.9661365,0.004386023,0.001515483,0.002049912,0.02213364,0.003778519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001518042,0.0001849804,0.001865699,0.003643189,0.00004232187,0.0001393759,0.0003079896,0.001915316,0.001406785,0.009160998,0.4003425,0.5808391],"study_design_scores_gemma":[0.00001080606,0.0001131067,0.001596405,0.004905556,0.00002170197,0.00009221698,0.0008954955,0.0006060896,0.001355789,0.003618448,0.9867339,0.00005041565],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01051403,0.3694502,0.02158859,0.3296662,0.04636257,0.0004252692,0.008325219,0.004020344,0.2096475],"genre_scores_gemma":[0.1019785,0.6211645,0.05078321,0.07752401,0.01564094,0.0005138838,0.01817081,0.002571661,0.1116525],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.06584724,"threshold_uncertainty_score":0.1309279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05752955072051937,"score_gpt":0.3715420065576685,"score_spread":0.3140124558371492,"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."}}