{"id":"W6964595764","doi":"10.25919/p1aa-9305","title":"Parkes observations for project P960 semester 2021APRS_03","year":2021,"lang":"en","type":"dataset","venue":"CSIRO","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dominion Astrophysical Observatory","funders":"","keywords":"Calibration; Observatory; Carry (investment); Matrix (chemical analysis); Flux (metallurgy)","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":[0.0007866522,0.001209548,0.0006981279,0.001649585,0.0004634084,0.00127243,0.001655651,0.001098539,0.03035175],"category_scores_gemma":[0.001775524,0.0004550482,0.0006602388,0.002692989,0.0002010176,0.0009535226,0.000957996,0.001062404,0.03476052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001070941,"about_ca_system_score_gemma":0.001254934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03967874,"about_ca_topic_score_gemma":0.05536764,"domain_scores_codex":[0.9995443,0.00006054106,0.00003304755,0.0001380982,0.0001412619,0.00008263264],"domain_scores_gemma":[0.9992031,0.0000820193,0.0001319099,0.0002200534,0.0002600939,0.0001028158],"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":[0.0001183328,0.00005122259,0.004915011,0.0003434999,0.00007421536,0.00006527335,0.00003132961,0.001324535,0.0004499404,0.0008642626,0.9856989,0.006063506],"study_design_scores_gemma":[0.0001611958,0.00002002374,0.01770611,0.00009917857,0.00001983307,0.00004176819,0.0001024648,0.001257363,0.0008062539,0.001004653,0.9787582,0.000022859],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009458071,0.00004567158,0.0001152563,0.00007543684,0.00002581146,0.00001122935,0.9973652,0.0002440793,0.001171565],"genre_scores_gemma":[0.001382231,0.00002952998,0.0005642401,0.00003334419,0.000009849897,0.00004660158,0.9964985,0.00006910808,0.001366626],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03967874,"threshold_uncertainty_score":0.1015368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05760134245462523,"score_gpt":0.2974631585679864,"score_spread":0.2398618161133612,"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."}}