{"id":"W7099249084","doi":"","title":"Directive Subject Purpose","year":2013,"lang":"en","type":"article","venue":"","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cash; Schedule; Directive; Product (mathematics); Wood industry; Logging; Cost–benefit analysis","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005857131,0.0006467929,0.0007641245,0.001272885,0.003975839,0.006044445,0.003107235,0.008746351,0.284894],"category_scores_gemma":[0.009574757,0.0007012289,0.0007590645,0.001230421,0.001209778,0.002204142,0.002618383,0.004452351,0.2367955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004549751,"about_ca_system_score_gemma":0.01441509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03578007,"about_ca_topic_score_gemma":0.04416364,"domain_scores_codex":[0.9936627,0.0006535539,0.0002805908,0.0008250547,0.003629642,0.000948405],"domain_scores_gemma":[0.9935359,0.000947557,0.0002348703,0.001157831,0.003627665,0.0004962886],"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":[0.00008590762,0.0001134507,0.0005173763,0.0001973232,0.000005191353,0.0001712728,0.00032582,0.0001306776,0.001881266,0.09110056,0.8704638,0.03500728],"study_design_scores_gemma":[0.000008898468,0.00001000957,0.0006540967,0.00004629808,0.000001855186,0.00004911565,0.00006036427,0.00005059676,0.0002601965,0.001335724,0.9975175,0.000005200875],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001033011,0.0003143532,0.001879921,0.003166968,0.001292142,0.0005644945,0.003370627,0.0006312685,0.9877472],"genre_scores_gemma":[0.006197557,0.0002110287,0.001420408,0.004458402,0.0002509319,0.0003725556,0.002455399,0.0002705057,0.9843633],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.715106,"threshold_uncertainty_score":0.9530655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005911345262592685,"score_gpt":0.2043942635905538,"score_spread":0.1984829183279611,"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."}}