{"id":"W7114777630","doi":"10.25919/jfb0-a346","title":"Parkes observations for project P1386 semester 2025OCTS_09","year":2025,"lang":"","type":"dataset","venue":"CSIRO","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Variation (astronomy); Measure (data warehouse); Stars; Limit (mathematics); Binary number; Set (abstract data type)","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":[0.001020961,0.001577807,0.001339881,0.003109564,0.001022564,0.002018617,0.00238855,0.001543964,0.09479938],"category_scores_gemma":[0.004498785,0.0007692743,0.0008119754,0.006655142,0.0003163021,0.001267653,0.00220283,0.001172991,0.103647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001518119,"about_ca_system_score_gemma":0.00233279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06525764,"about_ca_topic_score_gemma":0.09560194,"domain_scores_codex":[0.9988046,0.0001369472,0.0001329064,0.0003663235,0.0002805052,0.0002787463],"domain_scores_gemma":[0.9972415,0.0003790599,0.0005293503,0.0007200441,0.0008011244,0.0003289326],"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":[0.00008058957,0.00001784313,0.001766026,0.0003804968,0.00002542329,0.0000212179,0.00001748866,0.0001630421,0.0001109706,0.0002708943,0.9947159,0.002430157],"study_design_scores_gemma":[0.0002468461,0.00002746519,0.01608646,0.0002233273,0.00002969769,0.00004493472,0.0001583397,0.0003829167,0.0004375933,0.000560295,0.9817708,0.00003129523],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001274937,0.0000151182,0.00002329125,0.0000238877,0.000009272399,0.00000684678,0.9992375,0.00006432492,0.000492155],"genre_scores_gemma":[0.0004059337,0.00001668353,0.0001337127,0.00002073521,0.000005855801,0.00004065627,0.998301,0.00002795869,0.001047481],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09479938,"threshold_uncertainty_score":0.3171355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1137250556842302,"score_gpt":0.3713231232254914,"score_spread":0.2575980675412612,"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."}}