{"id":"W4288257343","doi":"10.5281/zenodo.3374904","title":"MatthewBCooke/Pathfinder: First public release","year":2019,"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":"Pathfinder; Political science; Computer science; Library science","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":[0.001529275,0.00238418,0.00168168,0.005432544,0.0006900803,0.002664993,0.003239641,0.001857154,0.3456363],"category_scores_gemma":[0.009663789,0.001712533,0.001933724,0.00582042,0.0005430911,0.003240223,0.003008099,0.001697974,0.2502251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008664787,"about_ca_system_score_gemma":0.00233166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009583887,"about_ca_topic_score_gemma":0.01376907,"domain_scores_codex":[0.9989973,0.00006587677,0.00009156374,0.0002529403,0.0004235092,0.0001688769],"domain_scores_gemma":[0.9970236,0.0009781398,0.0002052423,0.0008568375,0.000617166,0.0003189097],"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":[0.0003322201,0.00005584608,0.0007786413,0.001037117,0.00007844459,0.00009726864,0.00009998238,0.000299937,0.001702074,0.000961033,0.9627739,0.03178368],"study_design_scores_gemma":[0.000553636,0.00007039759,0.00476094,0.0003951456,0.00008676064,0.0002976085,0.00009062691,0.003200989,0.004699783,0.00493847,0.9807858,0.0001198559],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.001738911,0.0004642613,0.0126523,0.000543815,0.0003201989,0.0001694922,0.7435553,0.2275613,0.01299451],"genre_scores_gemma":[0.009863928,0.0006075715,0.02660607,0.0003450516,0.0001162949,0.0005341843,0.8503032,0.09433956,0.01728413],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.3456363,"threshold_uncertainty_score":0.9333704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02711368002161726,"score_gpt":0.2343335125461407,"score_spread":0.2072198325245234,"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."}}