{"id":"W7096553975","doi":"","title":"Chapter 8 LAND-USE PRACTICES AND CHANGES- FORESTRY","year":2015,"lang":"en","type":"article","venue":"","topic":"Seedling growth and survival studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Renewable energy; Water resources; Filter (signal processing); Habitat; Renewable resource; Vegetation (pathology)","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":[0.0002418751,0.0002942965,0.0001597056,0.0009328884,0.001679024,0.002837258,0.00060965,0.0006473412,0.0606999],"category_scores_gemma":[0.0003614663,0.0001005288,0.0001978515,0.002401793,0.0006440931,0.0008835256,0.0008532591,0.0009201693,0.006850724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006681019,"about_ca_system_score_gemma":0.00722175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3562915,"about_ca_topic_score_gemma":0.7112141,"domain_scores_codex":[0.9995678,0.00002392204,0.000009011994,0.00004459689,0.0002724644,0.00008208946],"domain_scores_gemma":[0.999838,0.00001258663,0.00001066524,0.000007650316,0.0001013257,0.00002978621],"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":[0.00001671238,0.0001520165,0.01228101,0.0006575469,0.00001406897,0.0002122655,0.003467413,0.0007761189,0.0008013415,0.1241604,0.4386522,0.418809],"study_design_scores_gemma":[9.277142e-7,0.00000635423,0.01673588,0.0003320641,0.000002815948,0.00006916775,0.001752797,0.00005529331,0.0001143862,0.002910243,0.9780141,0.000005988485],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008789508,0.02039083,0.000684712,0.007814916,0.001016996,0.0001444754,0.00326551,0.00006946576,0.9578236],"genre_scores_gemma":[0.1017134,0.03446234,0.002637528,0.002589138,0.0004091245,0.00009083991,0.004619198,0.00006428368,0.8534142],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3562915,"threshold_uncertainty_score":0.7084354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09397033965349423,"score_gpt":0.2744118779887743,"score_spread":0.18044153833528,"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."}}