{"id":"W6889656170","doi":"10.25919/em5p-wm85","title":"Parkes observations for project P885 semester 2023APRS_11","year":2023,"lang":"en","type":"dataset","venue":"CSIRO","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Event (particle physics); Track (disk drive); Swift; Flux (metallurgy); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007878138,0.002095265,0.001528054,0.001843452,0.001048447,0.00256477,0.002475052,0.00194632,0.1308238],"category_scores_gemma":[0.002742727,0.0007257969,0.001143428,0.003861259,0.0003412197,0.001935292,0.002301035,0.001573865,0.2120321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001156548,"about_ca_system_score_gemma":0.001528776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03806865,"about_ca_topic_score_gemma":0.06900335,"domain_scores_codex":[0.9992266,0.00009020149,0.0000544289,0.0002579614,0.0001852801,0.0001855671],"domain_scores_gemma":[0.9987504,0.0001403382,0.0001031337,0.0004474569,0.0003577425,0.0002009133],"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":[0.00004862546,0.00001417238,0.0003634696,0.0001256566,0.00001387412,0.00001642695,0.000008217513,0.0001062735,0.000116405,0.0001731934,0.9976633,0.001350468],"study_design_scores_gemma":[0.0001992086,0.00001492852,0.004125775,0.00006786269,0.00001425425,0.00003126061,0.00006597341,0.0004971019,0.0003847122,0.0009686081,0.9936063,0.00002397008],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001229078,0.00002499921,0.00004779286,0.0000643611,0.00003374998,0.000006735359,0.9982572,0.0004901104,0.0009520844],"genre_scores_gemma":[0.0002711979,0.00001592712,0.0002040492,0.00003774048,0.00001005638,0.00002076149,0.9983459,0.0001312203,0.0009630929],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1308238,"threshold_uncertainty_score":0.4376493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2460502002141356,"score_gpt":0.3850387041348432,"score_spread":0.1389885039207076,"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."}}