{"id":"W2249465597","doi":"10.5281/zenodo.27369","title":"plann: APPS publication version","year":2015,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Internet privacy; World Wide Web; Business; Information retrieval","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001103974,0.002482364,0.001219451,0.002721327,0.0006885359,0.002959553,0.002296926,0.001614724,0.4745796],"category_scores_gemma":[0.005779909,0.00157651,0.001303182,0.002185245,0.0004538011,0.003371002,0.002746957,0.001675583,0.3992879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008364114,"about_ca_system_score_gemma":0.001336648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005416494,"about_ca_topic_score_gemma":0.006341905,"domain_scores_codex":[0.999278,0.00007111104,0.00007831045,0.000186097,0.0002922877,0.0000942079],"domain_scores_gemma":[0.9980312,0.0006780688,0.00007803823,0.0004578119,0.0006131676,0.0001416636],"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":[0.0002153193,0.00002485092,0.0002535959,0.0004368241,0.00001775065,0.00007565133,0.00005969892,0.0003237277,0.0007404663,0.001156105,0.9654248,0.03127113],"study_design_scores_gemma":[0.0002039139,0.00002407008,0.00107243,0.0002213868,0.00002309258,0.000156931,0.00004714068,0.003573042,0.003437235,0.007679665,0.9834769,0.00008421754],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.001302304,0.0004167898,0.04337247,0.0007272376,0.0009034815,0.0003245913,0.4940611,0.4037558,0.05513626],"genre_scores_gemma":[0.01135096,0.0006163871,0.04661789,0.0008507731,0.0003140267,0.001062728,0.6939529,0.1659919,0.07924242],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.4745796,"threshold_uncertainty_score":0.7494484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05111145706368675,"score_gpt":0.2660943253483827,"score_spread":0.214982868284696,"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."}}