{"id":"W6891662169","doi":"10.4225/08/56fbdf2c1d522","title":"Parkes observations for project P875 semester 2014APRS","year":2014,"lang":"en","type":"dataset","venue":"CSIRO","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pulsar; Ephemeris; Population; Observatory; Flux (metallurgy); Quarter (Canadian coin)","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":[0.0008863643,0.00168824,0.001492464,0.003225367,0.0006679457,0.001756791,0.002953094,0.001595535,0.037926],"category_scores_gemma":[0.004189356,0.0005895397,0.001031538,0.006327162,0.0004234209,0.001428403,0.001875428,0.001242618,0.0570571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001563159,"about_ca_system_score_gemma":0.002178584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04503411,"about_ca_topic_score_gemma":0.08029841,"domain_scores_codex":[0.9990047,0.0001436693,0.0001215602,0.0003544565,0.000208665,0.0001670338],"domain_scores_gemma":[0.9984854,0.000185752,0.000225537,0.0004982124,0.0004381128,0.0001669594],"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":[0.0001536128,0.00002931097,0.002336707,0.0008188866,0.0000786591,0.00004655258,0.0000310358,0.0003988484,0.0002346774,0.0004998426,0.9917288,0.003642956],"study_design_scores_gemma":[0.0002498913,0.00002354766,0.01108307,0.0001957984,0.00004989112,0.00007740151,0.0001183772,0.0007290818,0.0005216697,0.0009752067,0.9859385,0.00003769317],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002677852,0.00006212298,0.00006387413,0.00003944456,0.00001515534,0.000009499224,0.9987078,0.0002599944,0.0005742224],"genre_scores_gemma":[0.0004156267,0.00003046439,0.000212858,0.0000173985,0.000004615476,0.0000322229,0.9988594,0.00003680061,0.0003905317],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04503411,"threshold_uncertainty_score":0.126875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1422724539623131,"score_gpt":0.3556545328769667,"score_spread":0.2133820789146536,"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."}}