{"id":"W4396793447","doi":"10.1038/scientificamerican082022-3l1zut9uq2hckcalnzdj7x","title":"Canadian Telescope Delivers Deepest-Ever Radio View of Cosmic Web","year":2022,"lang":"en","type":"article","venue":"Scientific American","topic":"Astronomy and Astrophysical Research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"COSMIC cancer database; Astronomy; Telescope; Cosmic ray; Radio telescope; Physics; Environmental science","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":[0.0007488436,0.0007383968,0.0007654451,0.003067605,0.003001214,0.002258205,0.0008824373,0.001005893,0.03855298],"category_scores_gemma":[0.001413706,0.0006750665,0.0007188442,0.002082518,0.0004547668,0.001018892,0.00154958,0.002040124,0.009976055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004981017,"about_ca_system_score_gemma":0.01088189,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6727619,"about_ca_topic_score_gemma":0.8673972,"domain_scores_codex":[0.9988212,0.00001969077,0.000008450436,0.0001588553,0.0007017899,0.000289982],"domain_scores_gemma":[0.9979096,0.00008439251,0.00006427853,0.0002125846,0.001113957,0.0006152156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004968703,0.00009282045,0.0418007,0.0003325113,0.0002364014,0.0004658152,0.0007116625,0.001251291,0.05871126,0.007668884,0.7497501,0.1384817],"study_design_scores_gemma":[0.0001238953,0.00007718932,0.2262944,0.0001011244,0.0001532163,0.0004535498,0.0004388418,0.003875919,0.01286351,0.002927087,0.7525305,0.000160936],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1031314,0.004438411,0.0204047,0.0101733,0.002218764,0.0004375981,0.1813026,0.02456766,0.6533256],"genre_scores_gemma":[0.6018612,0.002562017,0.05934937,0.004792944,0.001173776,0.0002015779,0.09156886,0.003123704,0.2353666],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3272381,"threshold_uncertainty_score":0.6583306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007727034227900718,"score_gpt":0.240443740904427,"score_spread":0.2327167066765263,"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."}}