{"id":"W7131999219","doi":"","title":"Un museu perifèric, Guillem Viladot : l'avantguarda rural","year":2019,"lang":"ca","type":"dissertation","venue":"Dipòsit Digital EINA","topic":"Urbanism, Landscape, and Tourism Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universitat de Lleida","keywords":"Population; Rural population; First world war; Quarter (Canadian coin)","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":[0.0007615699,0.0002743545,0.0001798436,0.0005197189,0.007610957,0.00472602,0.0004510315,0.0008866261,0.01672815],"category_scores_gemma":[0.001087248,0.0001544944,0.00009232169,0.0006325021,0.003241952,0.001595813,0.003740687,0.001454796,0.001667332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003822072,"about_ca_system_score_gemma":0.00427791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05662161,"about_ca_topic_score_gemma":0.1658369,"domain_scores_codex":[0.9997638,0.00009225593,0.000004008301,0.00003254733,0.00005118931,0.00005613843],"domain_scores_gemma":[0.9996924,0.00006316596,0.00003174609,0.00001674296,0.00005112672,0.0001449037],"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":[0.0001374501,0.00004741346,0.003487651,0.0003059254,0.000007894349,0.001456306,0.1342616,0.0001343125,0.001207784,0.1189886,0.6511586,0.0888065],"study_design_scores_gemma":[0.000003245484,0.000007244275,0.001780475,0.0001096568,0.000001278889,0.0001312992,0.02240484,0.000008716881,0.00007859422,0.0007555633,0.9747157,0.000003372228],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1043466,0.09554504,0.000709093,0.2024237,0.00637559,0.00004852255,0.0005301879,0.0001134168,0.5899079],"genre_scores_gemma":[0.3310027,0.02780113,0.0006982365,0.008776781,0.001048159,0.00004343217,0.0001816963,0.0001475933,0.6303003],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05662161,"threshold_uncertainty_score":0.1125841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006771398251795883,"score_gpt":0.2447225765168043,"score_spread":0.2379511782650085,"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."}}