{"id":"W7099971966","doi":"","title":"A Spatial Analysis for Switzerland Giuliano Guerra1","year":2016,"lang":"en","type":"article","venue":"","topic":"Bioactive natural compounds","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Acknowledgement; Economic analysis; Economic impact analysis; Economic data","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":[0.001117409,0.0007596297,0.0005523473,0.002538514,0.001105324,0.0032531,0.0004753948,0.0008303109,0.02469631],"category_scores_gemma":[0.006264999,0.0002539079,0.001166368,0.003044319,0.001335295,0.001715671,0.002081804,0.0008681597,0.005267327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002395217,"about_ca_system_score_gemma":0.001567169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0283052,"about_ca_topic_score_gemma":0.01590593,"domain_scores_codex":[0.999272,0.0003346626,0.00003286511,0.0001666665,0.0001317146,0.00006196513],"domain_scores_gemma":[0.9984488,0.0007657482,0.000160552,0.0001796748,0.0003433246,0.0001019295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00006668766,0.00001647157,0.007400104,0.0002758665,0.00009513128,0.0002700448,0.0003541415,0.03076704,0.0005678639,0.7527443,0.1002504,0.107192],"study_design_scores_gemma":[0.00002160001,0.00004845355,0.01600937,0.0004109093,0.00006574335,0.0004753784,0.0006697162,0.1137416,0.0005192738,0.5220003,0.3459645,0.00007302849],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06326441,0.0621094,0.5809389,0.04952964,0.003793983,0.0001746156,0.008520409,0.001690779,0.229978],"genre_scores_gemma":[0.7289597,0.02488532,0.1336863,0.001382041,0.003003742,0.0004292949,0.007501287,0.001266695,0.09888558],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0283052,"threshold_uncertainty_score":0.0826174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01147713685722241,"score_gpt":0.2588027349812856,"score_spread":0.2473255981240632,"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."}}