{"id":"W6889673405","doi":"10.25919/cnda-sw76","title":"Parkes observations for project P885 semester 2021OCTS_14","year":2021,"lang":"en","type":"dataset","venue":"CSIRO","topic":"Advanced Image Fusion Techniques","field":"Engineering","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":[0.00007238157,0.0003072264,0.0003406895,0.0001386585,0.00006633045,0.00006927002,0.0003005734,0.000259686,0.00001581179],"category_scores_gemma":[0.0002158001,0.000318169,0.0001274948,0.0002252557,0.0000273058,0.0001589915,0.00009644372,0.0002844893,0.000002877349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007447728,"about_ca_system_score_gemma":0.00006980683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001042479,"about_ca_topic_score_gemma":0.00004939831,"domain_scores_codex":[0.9989544,0.00001848491,0.0002951713,0.0003068748,0.0001378876,0.00028721],"domain_scores_gemma":[0.9989286,0.0001333942,0.00006058861,0.0007236311,0.0001100707,0.00004368337],"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":[0.00000177598,0.000016273,0.000001406985,0.0005194977,0.00003077799,0.0000113019,0.000008104385,0.00004726081,0.0004162957,0.000004669698,0.9979982,0.0009443755],"study_design_scores_gemma":[0.0001110941,0.00001990454,0.00001430833,0.0001828604,0.00005005513,0.000005763706,0.00001596032,0.0002761194,0.001537472,0.0001550933,0.9972808,0.0003505238],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00000846589,0.0007892057,0.01851391,0.00004183831,0.0006213624,0.0007363625,0.9786731,0.0004915076,0.0001242667],"genre_scores_gemma":[4.557294e-7,0.001053272,0.03487186,0.000168567,0.0003358587,0.0008035791,0.9617172,0.00007306143,0.0009760801],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01695582,"threshold_uncertainty_score":0.999927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04593874219117298,"score_gpt":0.298874074122709,"score_spread":0.252935331931536,"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."}}