{"id":"W4394411439","doi":"10.6084/m9.figshare.5202442","title":"Rachul et al. - Newspaper Article database.xlsx","year":2017,"lang":"en","type":"dataset","venue":"Figshare","topic":"Computational and Text Analysis Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Newspaper; Database; Computer science; Sociology; Media studies","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001546405,0.002188233,0.001418639,0.008085683,0.0007858445,0.004116254,0.002431426,0.002154601,0.2261583],"category_scores_gemma":[0.01504638,0.000605271,0.001840579,0.008616289,0.0006177217,0.001813305,0.002415624,0.001753584,0.161542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001130799,"about_ca_system_score_gemma":0.002693132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01044631,"about_ca_topic_score_gemma":0.02582972,"domain_scores_codex":[0.9987035,0.0002283862,0.0002606201,0.0003030934,0.0003154514,0.0001889368],"domain_scores_gemma":[0.9937083,0.002978035,0.0008211738,0.0009980584,0.00100054,0.0004939668],"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":[0.00009937125,0.00003452614,0.001109437,0.002162447,0.00005397226,0.00003665571,0.00004158774,0.000180575,0.00008900449,0.0004444999,0.9923925,0.0033553],"study_design_scores_gemma":[0.0004143349,0.00004055971,0.00526437,0.0008452342,0.00007188911,0.0001031037,0.0001426013,0.0005034452,0.0003044498,0.001206707,0.991059,0.00004438719],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009706515,0.00005202201,0.00003029484,0.00007131952,0.00002740314,0.0000158433,0.9991605,0.000172191,0.0003733929],"genre_scores_gemma":[0.0006300958,0.0001016904,0.0003826918,0.00006989042,0.00002593855,0.0001991418,0.9974957,0.0001007161,0.0009940522],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2261583,"threshold_uncertainty_score":0.7565747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1378637855801718,"score_gpt":0.4668216146801619,"score_spread":0.3289578290999901,"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."}}