{"id":"W3170391532","doi":"10.5281/zenodo.3824882","title":"The Canadian Roots of the TMT First Light Instruments NFIRAOS and IRIS","year":2019,"lang":"en","type":"article","venue":"","topic":"Astronomical Observations and Instrumentation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Herzberg Institute of Astrophysics","funders":"","keywords":"IRIS (biosensor); Optometry; Artificial intelligence; Computer science; Medicine; Biometrics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003045422,0.00004216481,0.0000392319,0.00001304354,0.0001058447,0.00002560222,0.00007841925,0.00002222098,0.00006996182],"category_scores_gemma":[0.000002939076,0.00002402516,0.00001504652,0.00005246017,0.00001544166,0.00007541759,0.00001449905,0.00004070108,0.00001996502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005762252,"about_ca_system_score_gemma":0.00001694503,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01138558,"about_ca_topic_score_gemma":0.1353519,"domain_scores_codex":[0.9997253,0.00000362381,0.00009365025,0.00004212668,0.00004513882,0.00009015016],"domain_scores_gemma":[0.9998158,0.00001054575,0.00001383,0.0001164684,0.000009378476,0.00003400567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00000301319,0.000006926258,0.9468668,0.00002521961,0.00006296369,4.097202e-8,0.0002365135,0.002812172,0.0022136,0.009600266,0.00433085,0.03384163],"study_design_scores_gemma":[0.0001769861,0.00001227689,0.9002007,0.0000106167,0.000004502144,2.614193e-7,0.0001019205,0.01778646,0.003093868,0.00007207968,0.07848303,0.00005734739],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864609,0.00001381164,0.00001552347,0.0009209591,0.0001807778,0.0001238974,0.000003522824,0.000009449,0.01227111],"genre_scores_gemma":[0.9993765,0.000007766197,0.0001257055,0.00003708178,0.000009522064,0.000004006385,0.000001496233,0.000005147989,0.0004327848],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1239663,"threshold_uncertainty_score":0.9951977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004106102612237187,"score_gpt":0.1591352535022621,"score_spread":0.1550291508900249,"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."}}