{"id":"W6908498073","doi":"10.25919/djhp-wh93","title":"Parkes observations for project P885 semester 2022APRS_04","year":2022,"lang":"en","type":"dataset","venue":"CSIRO","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Swift; Complement (music); Magnetar; Track (disk drive); Cadence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005756696,0.0005490531,0.0005840167,0.0004320097,0.000467758,0.0001540321,0.001104627,0.0002775587,0.0008459119],"category_scores_gemma":[0.0006137804,0.000567253,0.0003327981,0.0007291849,0.00009144579,0.0002277771,0.000493875,0.0006035652,0.00006538404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003484946,"about_ca_system_score_gemma":0.0006405478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002874969,"about_ca_topic_score_gemma":0.0003700333,"domain_scores_codex":[0.9971346,0.0002069764,0.0005502185,0.0008561078,0.0006068193,0.000645257],"domain_scores_gemma":[0.9972952,0.0003955012,0.0004488297,0.001614995,0.0001518794,0.00009362146],"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":[0.00007175368,0.0001974899,0.00004694772,0.0003575874,0.000157858,0.00001873674,0.00005162934,0.000012241,0.00003703341,0.00002765816,0.9989898,0.00003127672],"study_design_scores_gemma":[0.000620706,0.0001308515,0.0002187768,0.00004445301,0.0003628568,0.00001265106,0.0001301482,0.0000209601,0.000008512267,0.000118134,0.997686,0.0006459708],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006359287,0.0003370619,0.000008742993,0.0001706042,0.001248817,0.002705721,0.995124,0.0002100544,0.0001314295],"genre_scores_gemma":[2.700663e-7,0.0000624226,0.0005432338,0.0006074117,0.0005261771,0.005388066,0.9888791,0.000230792,0.003762514],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.006244864,"threshold_uncertainty_score":0.9996779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1614340060097307,"score_gpt":0.3564427299296244,"score_spread":0.1950087239198938,"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."}}