{"id":"W6889649681","doi":"10.25919/nyj1-gg74","title":"ASKAP Data Products for Project AS102 (ASKAP Pilot Survey for WALLABY): images and visibilities","year":2020,"lang":"en","type":"dataset","venue":"CSIRO","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Key (lock); Data collection; Survey research; Survey data collection; Survey methodology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001053137,0.001395617,0.0009123286,0.003082119,0.0008001522,0.001816561,0.002207655,0.001049249,0.04146739],"category_scores_gemma":[0.003594422,0.0006690717,0.0007601438,0.006403224,0.0004515736,0.001521374,0.001863425,0.001330615,0.06345484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001803393,"about_ca_system_score_gemma":0.002828004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09811205,"about_ca_topic_score_gemma":0.1293545,"domain_scores_codex":[0.9993147,0.00007438948,0.00005635174,0.000149869,0.0002234823,0.0001812226],"domain_scores_gemma":[0.9979978,0.0001930086,0.0002164642,0.0006269229,0.0007037743,0.0002620172],"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":[0.00007591779,0.00001953523,0.001792812,0.0003596454,0.00002955625,0.00003861117,0.00004231849,0.0004719929,0.0004017871,0.0005972778,0.9928023,0.003368126],"study_design_scores_gemma":[0.00008880563,0.00001165921,0.01778342,0.0001206923,0.00001382988,0.00005424211,0.0001483271,0.0007123093,0.000791596,0.0009220636,0.9793107,0.00004221029],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003698846,0.0000258329,0.00009217941,0.00004692169,0.0000155481,0.00000826117,0.9983717,0.0003095119,0.0007602482],"genre_scores_gemma":[0.0005440016,0.00002242293,0.0003456617,0.00001601112,0.000004229626,0.00003369026,0.9983104,0.0001046794,0.0006187693],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09811205,"threshold_uncertainty_score":0.1950819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3016370153505847,"score_gpt":0.3941798432234091,"score_spread":0.09254282787282436,"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."}}