{"id":"W7017947643","doi":"","title":"CFHTLenS: Mapping the Large Scale Structure with Gravitational Lensing","year":2013,"lang":"en","type":"article","venue":"Oxford University Research Archive (ORA) (University of Oxford)","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Measure (data warehouse); Noise (video); Context (archaeology); Field (mathematics); Scale (ratio); Stability (learning theory)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001395109,0.0005911607,0.0002949273,0.00405505,0.0004547158,0.0009316027,0.0005168821,0.0002790739,0.001338404],"category_scores_gemma":[0.005044756,0.000175634,0.0005002941,0.00301772,0.0005799861,0.000766761,0.0008740429,0.00034383,0.0001969456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007650155,"about_ca_system_score_gemma":0.0006336274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02960617,"about_ca_topic_score_gemma":0.02932555,"domain_scores_codex":[0.9994256,0.0001308059,0.00002776792,0.00009938652,0.0002394115,0.00007701426],"domain_scores_gemma":[0.997336,0.0011051,0.0005674387,0.0005637761,0.0002924704,0.0001351894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000632037,0.0001399477,0.5577416,0.0004095012,0.000712174,0.0007061811,0.000749332,0.2344317,0.02341264,0.02761646,0.01324777,0.1402006],"study_design_scores_gemma":[0.00006069621,0.0001380267,0.4643747,0.00003997453,0.00005186782,0.000515967,0.0002014059,0.5030944,0.01326989,0.009019089,0.009140275,0.00009375726],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9522829,0.0003651462,0.02895331,0.0001559707,0.00001835315,0.00006187681,0.01217574,0.002055304,0.003931317],"genre_scores_gemma":[0.9473844,0.0001330863,0.04156597,0.00002457434,0.00003566422,0.00004152494,0.01023276,0.0001674453,0.0004146922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02960617,"threshold_uncertainty_score":0.05886769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01590967777206788,"score_gpt":0.2129025632698149,"score_spread":0.196992885497747,"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."}}