{"id":"W6884596144","doi":"10.1093/mnras/stw2805/2417034","title":"KiDS-450: cosmological parameter constraints from tomographic weak gravitational lensing","year":2017,"lang":"en","type":"article","venue":"Leiden Repository (Leiden University)","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Weak gravitational lensing; Strong gravitational lensing; Cosmology; Gravitational lens; Gravitational lensing formalism; Hubble's law; Gravitation; Constraint (computer-aided design)","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":[0.002459534,0.001213402,0.001585003,0.002135722,0.0008602877,0.002480998,0.003182866,0.001008137,0.02213335],"category_scores_gemma":[0.008490545,0.00136924,0.00124462,0.002410682,0.0004987158,0.002367899,0.003846864,0.0009283283,0.0102073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006825816,"about_ca_system_score_gemma":0.001669731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01416352,"about_ca_topic_score_gemma":0.03266983,"domain_scores_codex":[0.9985358,0.0002406364,0.00007764376,0.0002712303,0.000652023,0.0002227527],"domain_scores_gemma":[0.9961706,0.001048736,0.0003008601,0.001398555,0.0005641219,0.0005172379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.003007791,0.0004539504,0.06337596,0.001264888,0.001162728,0.0005538418,0.0006332753,0.03681879,0.01817953,0.02579812,0.6347095,0.2140416],"study_design_scores_gemma":[0.002588347,0.0004595717,0.1273333,0.0003745467,0.0005970226,0.001054619,0.0004759298,0.4023439,0.04495309,0.06148816,0.3578779,0.0004536913],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2155357,0.002444572,0.1217928,0.00147945,0.000384016,0.0005055494,0.4583242,0.1301547,0.06937907],"genre_scores_gemma":[0.3503701,0.0006910504,0.1450435,0.000328207,0.000231274,0.0003549615,0.4847695,0.01220055,0.006010874],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02213335,"threshold_uncertainty_score":0.07404345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01269958396437566,"score_gpt":0.2028387862587795,"score_spread":0.1901392022944038,"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."}}