{"id":"W4398618100","doi":"10.7910/dvn/k0oyqf/iw3uit","title":"tableA3.txt","year":2019,"lang":"it","type":"dataset","venue":"Harvard Dataverse","topic":"Computational and Text Analysis Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Word (group theory); Ideology; Linguistics; Computer science; Natural language processing; Mathematics; Political science; Philosophy; Politics; Law","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":["insufficient_payload"],"category_scores_codex":[0.002309673,0.002608777,0.001731674,0.005326389,0.001479231,0.005160227,0.003573466,0.002450908,0.3852552],"category_scores_gemma":[0.01984367,0.0009838453,0.001637029,0.008586642,0.0008170514,0.002096915,0.003244638,0.002704863,0.3119236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001716049,"about_ca_system_score_gemma":0.003260069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01224333,"about_ca_topic_score_gemma":0.02244012,"domain_scores_codex":[0.9981046,0.0003306369,0.0003143112,0.0005443561,0.0003843402,0.0003217265],"domain_scores_gemma":[0.9902778,0.004532581,0.0008134564,0.001863033,0.001633496,0.000879549],"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":[0.00003990259,0.00001393242,0.0002584925,0.0004345952,0.00001990979,0.000009321492,0.00001712032,0.00007184858,0.00005210095,0.000317323,0.9977245,0.001041007],"study_design_scores_gemma":[0.0004373617,0.00002360493,0.001879131,0.000353682,0.0000405711,0.00003885921,0.00009286506,0.0002864281,0.0003452806,0.002818489,0.9936495,0.00003419525],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004025865,0.00001669084,0.00005235508,0.00006617179,0.00002316468,0.00001077815,0.9988776,0.0003979779,0.0005149428],"genre_scores_gemma":[0.0004536108,0.00004589972,0.0004045874,0.0001385124,0.00002232024,0.0002242524,0.9969714,0.0004052911,0.001334089],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6147448,"threshold_uncertainty_score":0.8768588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04761380894429166,"score_gpt":0.3379394933953652,"score_spread":0.2903256844510735,"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."}}