{"id":"W6961004364","doi":"10.14288/1.0169110","title":"Alberni Advocate","year":2011,"lang":"en","type":"article","venue":"Open Collections","topic":"Peanut Plant Research Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Action (physics); Work (physics); Subject (documents)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001078816,0.00005245529,0.00007205465,0.000004351619,0.001764005,0.000277163,0.0003257696,0.0000207536,0.005773404],"category_scores_gemma":[0.00004738027,0.00001777758,0.00002802783,0.0005389288,0.00003451884,0.0001196323,0.0002473096,0.00005981502,0.00002090684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001574356,"about_ca_system_score_gemma":0.000009148725,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03137921,"about_ca_topic_score_gemma":0.0259064,"domain_scores_codex":[0.9995076,0.00003552682,0.00006803888,0.0001396484,0.00007785984,0.0001713408],"domain_scores_gemma":[0.9997718,0.00007510583,0.0000183266,0.00003232411,0.00004229749,0.00006019322],"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":[0.00004105481,0.0001700109,0.0009791713,0.000001011253,0.00003318711,0.000007796842,0.0001425782,1.575398e-7,0.006356948,0.0001449789,0.9831864,0.008936662],"study_design_scores_gemma":[0.0001451802,0.0003217099,0.09867843,0.00000956338,0.000008982779,0.0000205789,0.0006063156,0.00001335944,0.001736189,0.003257431,0.8950221,0.0001801601],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02339527,0.00002299216,0.000001323226,0.0002921282,0.00006090947,0.000240619,0.000043169,0.00003528835,0.9759083],"genre_scores_gemma":[0.2964151,0.0001166883,0.0002697573,0.0001405645,0.00009862885,0.0001595535,0.00005628222,2.172768e-7,0.7027432],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2731651,"threshold_uncertainty_score":0.9995356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09946097285560523,"score_gpt":0.2608793105675765,"score_spread":0.1614183377119713,"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."}}