{"id":"W6964852825","doi":"10.25919/5e139578c78d4","title":"Parkes observations for project P885 semester 2019OCTS_09","year":2019,"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":"McGill University","funders":"","keywords":"Magnetar; Track (disk drive); Chaotic; Rotation (mathematics); Flux (metallurgy); Window (computing); Active listening","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":[0.0007819445,0.001573709,0.00100767,0.002647083,0.0007927491,0.002204275,0.001808284,0.001417527,0.07831647],"category_scores_gemma":[0.00360959,0.0005827986,0.0008512175,0.005407126,0.0002835093,0.001586078,0.001873564,0.001290003,0.1279483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001222026,"about_ca_system_score_gemma":0.002055109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04632864,"about_ca_topic_score_gemma":0.07422713,"domain_scores_codex":[0.9992705,0.00008783773,0.00008088487,0.0002113409,0.0001881231,0.0001613901],"domain_scores_gemma":[0.9985042,0.0001731408,0.0001928315,0.0003921249,0.000551365,0.0001864393],"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":[0.00004556356,0.00001222498,0.0009520032,0.0002054875,0.00001598137,0.0000168999,0.000013125,0.0001269608,0.0000721208,0.0003342661,0.9964525,0.00175311],"study_design_scores_gemma":[0.0001077715,0.000009078792,0.005395818,0.0001058073,0.00001136167,0.00002108315,0.00008482811,0.0002120817,0.0002106616,0.0006723819,0.9931515,0.00001753946],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009202372,0.00002356911,0.00002765645,0.00004746553,0.000021244,0.000004900348,0.9989606,0.0001469869,0.0006754958],"genre_scores_gemma":[0.0002898987,0.00003027126,0.0001485636,0.00002858083,0.000009265979,0.00002775887,0.9982772,0.00005943376,0.001129139],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07831647,"threshold_uncertainty_score":0.2619947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07401782842262376,"score_gpt":0.3093432729005453,"score_spread":0.2353254444779215,"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."}}