{"id":"W6948090148","doi":"10.4224/23004784","title":"Radio astronomy","year":2018,"lang":"en","type":"article","venue":"NPARC","topic":"Subterranean biodiversity and taxonomy","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Herzberg Institute of Astrophysics","funders":"","keywords":"","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005538478,0.0006784606,0.001310241,0.003340058,0.003504514,0.006947469,0.002597551,0.003426934,0.5431855],"category_scores_gemma":[0.03643911,0.0006082182,0.0007946873,0.001245034,0.001688062,0.002779378,0.003526294,0.002813456,0.4690008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002063555,"about_ca_system_score_gemma":0.007852452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00236177,"about_ca_topic_score_gemma":0.007989801,"domain_scores_codex":[0.9922791,0.0009097005,0.0004279539,0.0007852687,0.004699307,0.000898743],"domain_scores_gemma":[0.9060903,0.003216986,0.001477884,0.009455873,0.07048639,0.009272574],"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":[0.00004639076,0.00003147766,0.0004884833,0.0002613972,0.00001175777,0.0001750019,0.00005749385,0.00002470625,0.0006213035,0.001415506,0.9484687,0.04839797],"study_design_scores_gemma":[0.00001395361,0.00001127057,0.001155588,0.0001345762,0.000005929124,0.0001136217,0.00008331751,0.00007332562,0.0002467289,0.0006442003,0.9975074,0.00001003707],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.004733861,0.002932027,0.002459327,0.04402711,0.1608613,0.001422268,0.005679011,0.001972205,0.7759129],"genre_scores_gemma":[0.007436661,0.001200484,0.0009142713,0.003208767,0.01093032,0.0001840136,0.00293314,0.0005878427,0.9726046],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5431855,"threshold_uncertainty_score":0.6515905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03098378703936127,"score_gpt":0.1812346722091855,"score_spread":0.1502508851698242,"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."}}