{"id":"W7138865631","doi":"10.5281/zenodo.19101490","title":"My Annual Report of Unreportable Achievements","year":2017,"lang":"","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Academic Writing and Publishing","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Annual report; Government (linguistics)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003200123,0.0002713449,0.0003841698,0.0002528065,0.01465873,0.005884653,0.002675756,0.0001714371,0.03632108],"category_scores_gemma":[0.003866857,0.0002957106,0.0001426219,0.0001026156,0.001029767,0.001978443,0.003023231,0.0007700101,0.001865275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001130963,"about_ca_system_score_gemma":0.00001824117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000503869,"about_ca_topic_score_gemma":0.000001929124,"domain_scores_codex":[0.9965067,0.0003081476,0.0009870684,0.0006798039,0.000849208,0.0006690681],"domain_scores_gemma":[0.9948055,0.00003543294,0.001526648,0.001462251,0.00189576,0.0002744135],"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":[0.0001103691,0.0004066103,0.000131722,0.000423641,0.0002609366,0.0003154942,0.0226549,0.00001657211,0.0004700347,0.06675286,0.8407778,0.06767911],"study_design_scores_gemma":[0.0005394812,0.0002291298,0.001119436,0.0002255276,0.00006277726,0.0003306612,0.005910775,0.00007128161,0.0001630392,0.000502925,0.9905438,0.0003012005],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05833971,0.0002972754,0.0002540103,0.002373538,0.000855824,0.0004903885,0.001610758,0.000403004,0.9353755],"genre_scores_gemma":[0.9507388,0.0001777663,0.00007476204,0.0001016254,0.001449845,2.819188e-8,0.001514527,0.001471931,0.04447065],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8923991,"threshold_uncertainty_score":0.9999495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06211838761925643,"score_gpt":0.2768001039038225,"score_spread":0.2146817162845661,"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."}}