{"id":"W1654130888","doi":"","title":"A VO-compatible Information System for 3D Fabry-Perot Data","year":2009,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Astronomical Observations and Instrumentation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Fabry–Pérot interferometer; Redshift; Focus (optics); Galaxy; Physics; Projection (relational algebra); Velocity dispersion; Line (geometry); Computer science; Characterization (materials science); Dispersion (optics); Astrophysics; Optics; Algorithm; Wavelength; Mathematics; Geometry","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":[0.002282077,0.001178817,0.001577041,0.003607984,0.001052742,0.004158899,0.002875594,0.001781264,0.03046357],"category_scores_gemma":[0.006468584,0.0009074123,0.000685327,0.00332922,0.000539238,0.002750332,0.003170107,0.0009053024,0.01220846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008755532,"about_ca_system_score_gemma":0.0009095317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001731117,"about_ca_topic_score_gemma":0.001222201,"domain_scores_codex":[0.9986812,0.000189775,0.0001373185,0.0002829182,0.0005292029,0.0001795825],"domain_scores_gemma":[0.9962348,0.0005936183,0.0001793763,0.001955737,0.0007826082,0.0002538434],"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":[0.006126958,0.0002495564,0.006659391,0.001009546,0.0003346247,0.001262723,0.001097307,0.01290198,0.1663141,0.03424387,0.1392069,0.630593],"study_design_scores_gemma":[0.000692093,0.0004937972,0.005815519,0.0003743875,0.0002288609,0.001358612,0.000340451,0.2431073,0.2902858,0.03755921,0.4191905,0.0005534556],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.02486234,0.0008259498,0.7649793,0.0005054966,0.0005245007,0.0004591604,0.01200655,0.1749334,0.02090341],"genre_scores_gemma":[0.4365348,0.000824798,0.4783156,0.001138609,0.0006081317,0.0008129022,0.037883,0.02056852,0.02331363],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.03046357,"threshold_uncertainty_score":0.1019108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02214242417165495,"score_gpt":0.2200012488691038,"score_spread":0.1978588246974489,"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."}}