{"id":"W7039428335","doi":"","title":"MATGAS recull el Premi Nacional de Recerca 2014","year":2021,"lang":"ca","type":"article","venue":"Dipòsit Digital de Documents de la UAB (Universitat Autònoma de Barcelona)","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Government (linguistics); Latin Americans; Subject (documents)","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":[0.008288999,0.0008284027,0.001008757,0.002900276,0.002528001,0.008154779,0.002201417,0.006569927,0.07743261],"category_scores_gemma":[0.01153288,0.0008095194,0.001155856,0.002050095,0.001180249,0.001924503,0.00434257,0.007338462,0.06356143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01181959,"about_ca_system_score_gemma":0.03037821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1170259,"about_ca_topic_score_gemma":0.1531792,"domain_scores_codex":[0.9912073,0.0007171733,0.0004217854,0.0007692283,0.005230685,0.001653853],"domain_scores_gemma":[0.9913419,0.0006784314,0.0003676816,0.000691466,0.005183088,0.001737396],"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":[0.0001413217,0.00005194722,0.0005978732,0.0002547408,0.00001414484,0.00007543319,0.0001291961,0.00008639349,0.0004754435,0.01082708,0.9612979,0.02604852],"study_design_scores_gemma":[0.000007526427,0.000008852843,0.0009137322,0.0000497259,0.000003184842,0.000007751009,0.00002853025,0.00001187471,0.0001229699,0.00009237957,0.9987482,0.000005103799],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006518056,0.02335232,0.002029123,0.1195042,0.1570602,0.001235972,0.0252331,0.002529258,0.6625378],"genre_scores_gemma":[0.007385056,0.003202006,0.001467074,0.01581569,0.00284211,0.0002897896,0.003601753,0.0003899244,0.9650065],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1170259,"threshold_uncertainty_score":0.2590379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0207557391193073,"score_gpt":0.340770123243115,"score_spread":0.3200143841238077,"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."}}