{"id":"W7049982030","doi":"","title":"test","year":2005,"lang":"hu","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Advanced Electrical Measurement Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Test (biology); Relation (database); Set (abstract data type); Noise (video)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00000781587,0.0005471706,0.0005829601,0.00005748619,0.0001002034,0.00002345006,0.0004123281,0.0001118739,0.001080807],"category_scores_gemma":[0.00001060998,0.0005833443,0.00005026506,0.0001412839,0.00008196127,0.0002401461,0.0001326732,0.0004496122,1.886918e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003202482,"about_ca_system_score_gemma":0.001162264,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001420473,"about_ca_topic_score_gemma":0.03329977,"domain_scores_codex":[0.9962381,0.00003691129,0.0004874048,0.000410801,0.002210007,0.0006167373],"domain_scores_gemma":[0.9986237,0.0003682113,0.0002192107,0.000378066,3.948922e-7,0.000410438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004427814,0.0002902289,0.01461982,0.003716931,0.001092559,0.0005432494,0.00009451083,0.001383921,0.1718407,0.1331284,0.1545757,0.5182713],"study_design_scores_gemma":[0.0003215255,0.0001139868,0.00404361,0.0006645523,0.00006063907,0.000007310151,0.0001105328,0.002166714,0.1453249,0.0005180823,0.8458586,0.0008095706],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001170541,0.003540824,0.0009399598,0.001352278,0.0002371241,0.0003723593,0.0003624229,0.0001056006,0.9929724],"genre_scores_gemma":[0.3525457,0.004278043,0.01271278,0.001350398,0.0006381241,0.00003512336,0.00001830561,0.0005300101,0.6278915],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.691283,"threshold_uncertainty_score":0.9998323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002678076350261415,"score_gpt":0.1357934806769527,"score_spread":0.1331154043266913,"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."}}