{"id":"W7112598577","doi":"","title":"Nature State: Incentivized Forests in Southern Ontario","year":2021,"lang":"en","type":"article","venue":"Digital Access to Scholarship at Harvard (DASH) (Harvard University)","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stewardship (theology); Work (physics); Incentive; Land use; Land tenure; Forest management; Deforestation (computer science); Order (exchange); Biodiversity","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":[0.000404829,0.00006563836,0.00009998026,0.0003380635,0.00532572,0.001340974,0.0003756106,0.0004039041,0.003231724],"category_scores_gemma":[0.001265473,0.0001123576,0.00007326148,0.001105003,0.002032824,0.0004972107,0.0007649193,0.0003571378,0.00009915471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04232816,"about_ca_system_score_gemma":0.04231223,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9771384,"about_ca_topic_score_gemma":0.9962243,"domain_scores_codex":[0.9996037,0.00004982134,0.000008180664,0.00003701557,0.0001300126,0.0001712883],"domain_scores_gemma":[0.9989569,0.0002339803,0.0001756296,0.00004807439,0.0002610373,0.0003243801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003205659,0.0002204068,0.559007,0.0004952879,0.00004217734,0.003127558,0.2332239,0.003682902,0.009488917,0.05207137,0.04132828,0.0969916],"study_design_scores_gemma":[0.00002614629,0.00007543872,0.6675335,0.00008510632,0.00001864467,0.0001175787,0.1266363,0.001359504,0.0007880926,0.001887936,0.2014389,0.00003277251],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9668489,0.0001822931,0.0001861362,0.002567646,0.00001150851,0.00005209344,0.0004162645,0.00001328181,0.02972185],"genre_scores_gemma":[0.9792334,0.0001769918,0.0001819921,0.0001508297,0.00000399223,0.00002436337,0.0001553273,0.000004847359,0.02006813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04232816,"threshold_uncertainty_score":0.3071138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0132269962679468,"score_gpt":0.2259075520891977,"score_spread":0.2126805558212509,"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."}}