{"id":"W1867278458","doi":"10.22621/cfn.v127i1.1428","title":"Can we Create Alvars or Fully Restore those Damaged?","year":2013,"lang":"en","type":"article","venue":"The Canadian Field-Naturalist","topic":"Mediterranean and Iberian flora and fauna","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Natural (archaeology); Quality (philosophy); Diversity (politics); Ecosystem; Environmental ethics; Environmental resource management; Business; Computer science; Environmental science; Political science; Geography; Law; Archaeology; Ecology; Biology; Philosophy; Epistemology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.005835759,0.0005132163,0.0004692629,0.0008302479,0.001906519,0.004592239,0.002036268,0.00376308,0.01348095],"category_scores_gemma":[0.01162105,0.0002598795,0.0006205045,0.0005175183,0.005209066,0.009853108,0.002423055,0.001993762,0.007362459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001143122,"about_ca_system_score_gemma":0.003222498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002655387,"about_ca_topic_score_gemma":0.00951261,"domain_scores_codex":[0.9983755,0.0004881207,0.000105095,0.0002319009,0.0004513136,0.0003480282],"domain_scores_gemma":[0.9963671,0.0009248002,0.00048774,0.0005955443,0.0006135413,0.001011261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001784928,0.0003381032,0.01947989,0.00260874,0.00009702453,0.0006196437,0.002013135,0.0007702149,0.003957178,0.0568071,0.07314947,0.839981],"study_design_scores_gemma":[0.00002879818,0.0003899897,0.01721139,0.003730032,0.000112711,0.003615866,0.01690436,0.0006044104,0.003608451,0.08474097,0.8689508,0.0001022241],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1052038,0.2537152,0.07237966,0.3777614,0.01296749,0.0003566448,0.0008816724,0.001341115,0.1753931],"genre_scores_gemma":[0.5802116,0.1965755,0.1001725,0.04548061,0.004831637,0.0004326292,0.000807543,0.000552381,0.07093555],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01348095,"threshold_uncertainty_score":0.0450983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03713271268019459,"score_gpt":0.2304394515231303,"score_spread":0.1933067388429357,"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."}}