{"id":"W7027581986","doi":"","title":"Current and future realizations : NRC photometric and spectroadiometric calibration chains","year":2012,"lang":"en","type":"other","venue":"NPARC","topic":"Innovation, Technology, and Society","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Calibration; Current (fluid); Noise (video); Measure (data warehouse)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.009406185,0.0006736484,0.0006873616,0.001594451,0.00155919,0.00363088,0.001665495,0.001451104,0.04493297],"category_scores_gemma":[0.01261142,0.0004560239,0.0004556763,0.00220511,0.0009018531,0.003741057,0.001919683,0.001871746,0.02932017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002592688,"about_ca_system_score_gemma":0.003947673,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01248438,"about_ca_topic_score_gemma":0.0172004,"domain_scores_codex":[0.9959856,0.0007621574,0.0001090734,0.0006348719,0.002182394,0.0003259242],"domain_scores_gemma":[0.9886833,0.0005697275,0.0003382746,0.004375359,0.00551888,0.000514487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005527941,0.000269445,0.009958965,0.0001827031,0.00006023472,0.0001280872,0.0004679753,0.01187856,0.01004394,0.1893967,0.2342576,0.5428029],"study_design_scores_gemma":[0.0001250485,0.00009205366,0.01444885,0.0001693539,0.00006823587,0.0001895597,0.0002150042,0.05575592,0.01652238,0.06552237,0.8467259,0.0001653435],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04740934,0.001821895,0.2822782,0.007896068,0.002713706,0.0004855155,0.01137199,0.0156221,0.6304012],"genre_scores_gemma":[0.4319553,0.001852878,0.3095003,0.001311835,0.001513668,0.0003648947,0.0301071,0.006441617,0.2169524],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9875156,"threshold_uncertainty_score":0.1503157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01908698891689297,"score_gpt":0.3020816945376432,"score_spread":0.2829947056207502,"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."}}