{"id":"W4396922224","doi":"10.18225/ci.inf.v50i3.5854","title":"Editorial v.45 n.3 2016","year":2022,"lang":"pt","type":"article","venue":"Ciência da Informação","topic":"Legal Cases and Commentary","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer 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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006026243,0.0003680169,0.0004705934,0.0002070835,0.0007873763,0.0001035683,0.0004990951,0.0001438359,0.01325238],"category_scores_gemma":[0.00008969256,0.0003615868,0.0003228018,0.0004745598,0.00007705116,0.0004710458,0.001089354,0.001366647,0.001635335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006979939,"about_ca_system_score_gemma":0.0008334904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005444468,"about_ca_topic_score_gemma":0.00000925586,"domain_scores_codex":[0.9967507,0.00007862759,0.0007174074,0.0003146089,0.001350186,0.000788544],"domain_scores_gemma":[0.998338,0.0000955967,0.0002588878,0.0007496449,0.0001117396,0.0004461043],"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":[0.0008100849,0.0002349433,0.00141156,0.00009565713,0.0001369389,0.0001079446,0.002057123,0.00002605517,0.0001356619,0.0003895502,0.9850237,0.009570759],"study_design_scores_gemma":[0.003770799,0.001301233,0.0005727558,0.00005926745,0.0002368939,0.0001116551,0.003653154,0.0004056185,0.0000853444,0.0000200565,0.9893597,0.0004234936],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.08414596,0.00473152,0.00009772646,0.005431049,0.8240308,0.001719964,0.001561337,0.000336816,0.07794487],"genre_scores_gemma":[0.6150117,0.0002742334,0.00004829086,0.02295351,0.3293754,0.0003204129,0.00151831,0.000128359,0.03036976],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.5308657,"threshold_uncertainty_score":0.9998836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01654756125100308,"score_gpt":0.2649107076581317,"score_spread":0.2483631464071286,"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."}}