{"id":"W2527696139","doi":"10.2495/sdp-v11-n6-827-833","title":"Use of self-organizing maps in the identification of different groups of reclamation sites in the amazon Forest-Brazil","year":2016,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Amazon rainforest; Land reclamation; Geography; Identification (biology); Forestry; Environmental science; Archaeology; Ecology","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":[0.0005275968,0.000200736,0.00017713,0.002958074,0.0002632958,0.0007774438,0.0002006275,0.0002259918,0.0003072166],"category_scores_gemma":[0.001555124,0.00009605478,0.0003214515,0.001360096,0.0002583956,0.0003534865,0.0003458425,0.0001175751,0.00007607396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003263835,"about_ca_system_score_gemma":0.0003482374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01374195,"about_ca_topic_score_gemma":0.02350055,"domain_scores_codex":[0.9997482,0.00007566174,0.00002492755,0.00004413255,0.0000650299,0.00004205166],"domain_scores_gemma":[0.9993793,0.0002479325,0.0001140087,0.00003281602,0.0001729671,0.00005298983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004481683,0.0002215185,0.8410854,0.0002067546,0.0001615174,0.0005841078,0.003292369,0.009695352,0.01347748,0.0007690792,0.0005656101,0.1294926],"study_design_scores_gemma":[0.00001084596,0.0001103868,0.9080487,0.00004887649,0.00007101124,0.0002201964,0.005543478,0.08037301,0.003475626,0.0007971794,0.001265908,0.00003477702],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950451,0.0001059601,0.003418812,0.00003498383,0.000004231113,0.00003294966,0.000220158,0.00003571491,0.001102091],"genre_scores_gemma":[0.9967188,0.0000361486,0.002947259,0.000002723281,0.00000148523,0.000009601676,0.0001569468,0.000002730937,0.0001241819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01374195,"threshold_uncertainty_score":0.0273239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01606525583969238,"score_gpt":0.2351937882857753,"score_spread":0.219128532446083,"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."}}