{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001819614,0.0005067413,0.0005415094,0.00113916,0.00193243,0.0007752237,0.002512507,0.0007060544,0.003719859],"category_scores_gemma":[0.0002715139,0.0006102769,0.0003887327,0.003684947,0.001280841,0.003600501,0.0002950647,0.0008683034,0.001194031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002500236,"about_ca_system_score_gemma":0.003506017,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009328435,"about_ca_topic_score_gemma":0.001042492,"domain_scores_codex":[0.9941004,0.0005673024,0.0004833639,0.001300352,0.001697047,0.001851513],"domain_scores_gemma":[0.9962866,0.0004278216,0.0005465688,0.001103272,0.0005886952,0.001047044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004839372,0.001046045,0.2805918,0.0001383304,0.0002822911,0.00146931,0.1536142,0.001398858,0.1423565,0.151671,0.2616127,0.005334858],"study_design_scores_gemma":[0.00257573,0.0005195262,0.07242896,0.0003028475,0.0002517826,0.0002700351,0.2807237,0.001674217,0.008347074,0.00182041,0.628768,0.002317683],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6169125,0.00005532111,0.0004671249,0.009606563,0.003219582,0.0005801119,0.0000102225,0.0003284582,0.3688201],"genre_scores_gemma":[0.8961993,0.00004789942,0.002243298,0.001629582,0.0009005144,0.000003541489,0.00002049222,0.00004782144,0.09890752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3671553,"threshold_uncertainty_score":0.9996349,"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."}}