{"id":"W3019210986","doi":"10.1007/s11842-020-09443-8","title":"Differences and Similarities Among Members and Nonmembers of Forest Landowner Associations in the Southern United States","year":2020,"lang":"en","type":"article","venue":"Small-scale Forestry","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Forester; Land tenure; Outreach; Forest management; Business; Forestry; Community forestry; Quarter (Canadian coin); Plan (archaeology); Environmental resource management; Geography; Agriculture; Economic growth; Economics","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":[0.0007298037,0.00009324386,0.0002075294,0.001262984,0.001176108,0.0008873888,0.0004477465,0.0002562093,0.003055415],"category_scores_gemma":[0.001980342,0.0001358893,0.0001218151,0.001552505,0.0006158177,0.0007735018,0.0009119223,0.0002744918,0.0002803809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000780835,"about_ca_system_score_gemma":0.0006563209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0681284,"about_ca_topic_score_gemma":0.2167394,"domain_scores_codex":[0.9995137,0.0001277136,0.00003915107,0.00008870887,0.00009614007,0.0001345003],"domain_scores_gemma":[0.9977638,0.0004754855,0.0006355171,0.00008639356,0.0004509577,0.0005878861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005944044,0.00004958674,0.991204,0.000007973951,0.00001542508,0.00004013474,0.004498051,0.00004052721,0.000385279,0.0001654598,0.0002554383,0.003278662],"study_design_scores_gemma":[9.467847e-7,0.00001692437,0.9911941,0.000004556236,0.000002949947,0.00002922944,0.008207679,0.0000706833,0.00003270631,0.00003554288,0.0004031636,0.000001475562],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992245,0.00004249584,0.00001756369,0.00003678396,0.000001438725,0.000001706991,0.00006676791,9.628911e-7,0.0006077836],"genre_scores_gemma":[0.9993157,0.00004915584,0.00002257474,0.00001750667,0.000002361249,0.000002513537,0.000135087,0.000001224874,0.0004538935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0681284,"threshold_uncertainty_score":0.1354637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01521877156058869,"score_gpt":0.2049776852915674,"score_spread":0.1897589137309787,"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."}}