{"id":"W1989569084","doi":"10.1051/0004-6361:20054586","title":"Principal component analysis of weak lensing surveys","year":2006,"lang":"en","type":"article","venue":"Astronomy and Astrophysics","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Partenariat Canadien Contre Le Cancer; Bundesministerium für Bildung und Forschung; Deutsche Forschungsgemeinschaft","keywords":"Weak gravitational lensing; Sky; Principal component analysis; Galaxy; COSMIC cancer database; Noise (video); Component (thermodynamics); Physics; Astrophysics; Computer science; Mathematics; Statistics; Redshift; Artificial intelligence; Image (mathematics)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.003441492,0.0008207728,0.0004988014,0.001468434,0.0004240753,0.001151288,0.0007091042,0.000340171,0.001222048],"category_scores_gemma":[0.01989732,0.0003662537,0.0004969403,0.0009541197,0.0006360121,0.0009471361,0.0008861683,0.0005556772,0.0002862656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005891226,"about_ca_system_score_gemma":0.000605994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005253955,"about_ca_topic_score_gemma":0.003267716,"domain_scores_codex":[0.9984431,0.0009982073,0.00006280751,0.0001685785,0.0002364269,0.0000908992],"domain_scores_gemma":[0.992301,0.004778652,0.0008094719,0.0008815599,0.00102942,0.0001999855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003365054,0.00004628267,0.04525283,0.0002043706,0.0003191449,0.00008975073,0.0001199258,0.7572374,0.001899171,0.07007185,0.004224354,0.1201985],"study_design_scores_gemma":[0.00001586273,0.00002947511,0.009710521,0.00001485801,0.00002769841,0.0000215311,0.00001990229,0.9475439,0.000662671,0.04100356,0.0009349433,0.00001511153],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2235955,0.0006245818,0.7706837,0.0004888508,0.00004136892,0.0000751589,0.001247687,0.001012775,0.002230305],"genre_scores_gemma":[0.9090116,0.0004365298,0.08699916,0.00005455346,0.00005309878,0.00009629335,0.00186305,0.0001579198,0.001327783],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005253955,"threshold_uncertainty_score":0.01820058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00741315969269886,"score_gpt":0.1987555377645718,"score_spread":0.1913423780718729,"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."}}