{"id":"W2141306254","doi":"10.5120/18156-9334","title":"Programmatically Ranking and Sorting Research Articles for Reviews (ALIGN)","year":2014,"lang":"en","type":"article","venue":"International Journal of Computer Applications","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Ranking (information retrieval); Sorting; Data science; Information retrieval; Algorithm","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":["metaresearch","scholarly_communication"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.1120888,0.0001086337,0.001010851,0.0004510088,0.0001450746,0.001196567,0.00169723,0.00003421328,0.0001492505],"category_scores_gemma":[0.01006755,0.00005800277,0.0006221703,0.000437711,0.00007552464,0.0002293285,0.0001413141,0.0001514823,0.0001607156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002520174,"about_ca_system_score_gemma":0.00003676358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.121982e-7,"about_ca_topic_score_gemma":0.00000253008,"domain_scores_codex":[0.9878718,0.00246355,0.006059585,0.0003187077,0.00312518,0.0001611797],"domain_scores_gemma":[0.9835131,0.006526523,0.003553781,0.0007128462,0.005561776,0.0001320212],"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":[0.000006640351,0.00005852182,0.001675053,0.00002066965,0.0001119443,4.359134e-7,0.0002628635,0.00007280282,0.0001853728,0.09370883,0.01160403,0.8922929],"study_design_scores_gemma":[0.0002744381,0.0000669572,0.001531711,0.00008479448,0.0000510159,0.00006406554,0.00006253484,0.06495378,0.00004851873,0.1940314,0.7387551,0.00007562216],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008520245,0.000416391,0.9853835,0.004068964,0.0001530222,0.0007578713,0.000001807773,0.000002409874,0.0006958221],"genre_scores_gemma":[0.6018299,0.00006062392,0.3959497,0.0003809535,0.001295747,0.0001684216,0.000002540313,0.000009266683,0.0003028309],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8922172,"threshold_uncertainty_score":0.9998403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7892144027678476,"score_gpt":0.6174884799974072,"score_spread":0.1717259227704404,"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."}}