{"id":"W6904427737","doi":"10.1371/journal.pone.0245533.s001","title":"S1 Appendix -","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Computational and Text Analysis Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Task (project management); Set (abstract data type); Software; Control (management); Gender gap; Social media; Data set; News media","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00005566678,0.00002889163,0.00005187712,0.0000169074,0.0001890931,0.00005661366,0.00008305667,0.00002648773,0.9452556],"category_scores_gemma":[0.001256087,0.00002943868,0.00005931919,0.0002749341,0.000004322535,0.00005801573,0.00003705345,0.00003894448,0.1870997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001659993,"about_ca_system_score_gemma":0.0001577414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003578105,"about_ca_topic_score_gemma":0.0002895397,"domain_scores_codex":[0.9994682,0.0001086239,0.00005339685,0.00009636441,0.000176996,0.00009640976],"domain_scores_gemma":[0.9995705,0.0001798982,0.0000206458,0.00005957114,0.0001176669,0.00005165323],"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":[2.592474e-7,0.00000996323,0.00005462277,0.000004490953,0.000008090599,0.00001757357,0.0005334488,0.00001498262,0.000005239184,0.003168328,0.9733899,0.02279308],"study_design_scores_gemma":[0.00002430449,0.000001028614,0.0002495557,0.00003545359,0.000002659473,5.469396e-7,0.0002379186,0.00006829367,0.00008466194,0.002693607,0.9965588,0.00004311711],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.0009254701,0.001278602,0.0001822776,0.005186984,0.0002871748,0.0001488544,0.09106221,0.000272781,0.9006556],"genre_scores_gemma":[0.04097073,0.00001001107,0.005103097,0.001309201,0.001237988,0.00004699123,0.9018684,0.00001346982,0.04944012],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.8512155,"threshold_uncertainty_score":0.8135333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1066756793904044,"score_gpt":0.4050596373774522,"score_spread":0.2983839579870478,"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."}}