{"id":"W6965311836","doi":"10.35078/0l4ltq/vfp4nu","title":"Montreal A.jpg","year":2022,"lang":"de","type":"dataset","venue":"Repositório 1 da Fiocruz","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Set (abstract data type); Work (physics); Perspective (graphical); Focus (optics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008888376,0.004643393,0.002873248,0.005570601,0.001672719,0.005550977,0.004914287,0.003170717,0.1782703],"category_scores_gemma":[0.006409124,0.001201082,0.001863864,0.00963221,0.0007914961,0.003013168,0.002832679,0.002344923,0.3690988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002744163,"about_ca_system_score_gemma":0.003472873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09209717,"about_ca_topic_score_gemma":0.1442681,"domain_scores_codex":[0.9988059,0.0001739041,0.00007028025,0.000450926,0.0002431582,0.000255874],"domain_scores_gemma":[0.9979297,0.0003668351,0.0001278239,0.0007940145,0.0004969792,0.0002846678],"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":[0.00003321647,0.000007431485,0.0001043122,0.0002127845,0.00001228513,0.00000659164,0.000005832678,0.0001087998,0.00003610627,0.000217895,0.9979043,0.001350492],"study_design_scores_gemma":[0.0001509079,0.00001612238,0.001152799,0.0002671347,0.00002201857,0.00003721665,0.00004435666,0.0005751447,0.0002870842,0.001376626,0.9960396,0.00003095459],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007310227,0.0001669948,0.00007288495,0.00009643898,0.0000632045,0.00001013004,0.9958706,0.001796175,0.001850366],"genre_scores_gemma":[0.0002574685,0.00009942344,0.0001772362,0.0000466772,0.00001443439,0.00002374094,0.998106,0.0002108198,0.00106412],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1782703,"threshold_uncertainty_score":0.5963737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01581788511444025,"score_gpt":0.2610099809327927,"score_spread":0.2451920958183524,"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."}}