{"id":"W3197018501","doi":"10.34619/plei-itzg","title":"CORPORART - PT/IT","year":2019,"lang":"en","type":"article","venue":"Universidade Nova de Lisboa's Repository (Universidade Nova de Lisboa)","topic":"Science and Science Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Linguistic Association","funders":"","keywords":"Political 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":[],"consensus_categories":[],"category_scores_codex":[0.003877333,0.002092869,0.00180786,0.00715416,0.003416495,0.006714273,0.002535413,0.00146539,0.1803801],"category_scores_gemma":[0.01042178,0.001283164,0.0008329211,0.01125324,0.001704903,0.004218852,0.005004101,0.003210154,0.1254344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00339772,"about_ca_system_score_gemma":0.005866837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01130173,"about_ca_topic_score_gemma":0.01502385,"domain_scores_codex":[0.9958489,0.00103823,0.0005417169,0.001370732,0.000932576,0.0002677877],"domain_scores_gemma":[0.9933795,0.00165938,0.0004266976,0.002138087,0.001828575,0.0005678151],"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":[0.0003397966,0.000106964,0.0006122247,0.002804214,0.00004334103,0.0002908696,0.00191577,0.0002549242,0.003994747,0.01901,0.9163815,0.0542457],"study_design_scores_gemma":[0.00006740443,0.00001546191,0.001299121,0.0002287243,0.00001625062,0.0001935343,0.0002397549,0.0002040098,0.001443668,0.00144889,0.9948202,0.00002278394],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.005924314,0.001952543,0.01276814,0.001152239,0.0009475399,0.0009207809,0.7658802,0.01374537,0.1967089],"genre_scores_gemma":[0.01344584,0.000668853,0.02297624,0.0003477303,0.0002561987,0.001594356,0.9141497,0.01275599,0.03380508],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1803801,"threshold_uncertainty_score":0.6034315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03591394642182777,"score_gpt":0.2946626016627599,"score_spread":0.2587486552409322,"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."}}