{"id":"W4396717866","doi":"10.48550/arxiv.2310.02185","title":"Multimodality for improved CNN photometric redshifts","year":2023,"lang":"en","type":"preprint","venue":"HAL AMU","topic":"Infrared Target Detection Methodologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multimodality; Redshift; Computer science; Artificial intelligence; Astrophysics; Physics; Galaxy; World Wide Web","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":[0.0009539238,0.001348086,0.000780886,0.001453416,0.0003189596,0.0009468009,0.001553625,0.001014992,0.005518732],"category_scores_gemma":[0.003486266,0.00042966,0.0008420222,0.001239112,0.0003694836,0.001850909,0.001794514,0.00127834,0.001616911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001174335,"about_ca_system_score_gemma":0.0005795629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006096744,"about_ca_topic_score_gemma":0.008237629,"domain_scores_codex":[0.9995309,0.00006948378,0.00002302798,0.0001534952,0.0001394118,0.00008375159],"domain_scores_gemma":[0.9993554,0.0001279175,0.00009441415,0.0001622336,0.0002201595,0.00003987435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002535871,0.0001072644,0.003969824,0.0001422152,0.0001485172,0.0001365626,0.0001026753,0.2668146,0.03682049,0.01212674,0.006461774,0.6729158],"study_design_scores_gemma":[0.000006471176,0.00002536203,0.001043698,0.00001085001,0.0000238815,0.00004684563,0.00001373759,0.984503,0.006132445,0.006380253,0.001806082,0.000007499877],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05450017,0.0007007282,0.9356124,0.0004346723,0.00006490445,0.00004463516,0.000687047,0.004143195,0.00381225],"genre_scores_gemma":[0.6493775,0.0004483316,0.3396342,0.0002854679,0.00013959,0.00008873041,0.001783898,0.0004908342,0.007751485],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006096744,"threshold_uncertainty_score":0.018462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1197807324182724,"score_gpt":0.3225648898103331,"score_spread":0.2027841573920607,"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."}}