{"id":"W7066308228","doi":"","title":"Hiilinieluja ja ilmastohyötyjä hallituin riskein : Metsäsektorin ohjauskeinojen monitieteinen analyysi","year":2023,"lang":"fi","type":"other","venue":"Jukuri (Luonnonvarakeskus Tietopalvelu)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Population; Quarter (Canadian coin); Government (linguistics)","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":[0.0006067187,0.0006242795,0.0003540195,0.0009450137,0.000682273,0.002278731,0.0003954263,0.0007096765,0.01811309],"category_scores_gemma":[0.000564974,0.0003674907,0.0005433371,0.000579059,0.0004150562,0.0009313622,0.0009597057,0.001114056,0.00322213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009203189,"about_ca_system_score_gemma":0.0008227312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006876039,"about_ca_topic_score_gemma":0.01532873,"domain_scores_codex":[0.9995947,0.00005094632,0.00002546503,0.0001169238,0.0001568699,0.00005507192],"domain_scores_gemma":[0.9997771,0.00004124108,0.00004487127,0.00001759968,0.0000811401,0.00003802572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001790717,0.0004123866,0.05663854,0.002454778,0.0004927095,0.001488464,0.002266038,0.0006222426,0.6442918,0.01222258,0.01230592,0.2650138],"study_design_scores_gemma":[0.00005223715,0.001168023,0.1145268,0.0006980817,0.000567119,0.002073575,0.003081543,0.002020621,0.5365846,0.005186666,0.3338706,0.000170112],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7054461,0.07996887,0.04144006,0.005096414,0.00206311,0.0005439839,0.007197316,0.0009378417,0.1573063],"genre_scores_gemma":[0.6985086,0.02824598,0.02880467,0.001848743,0.0002951068,0.000392189,0.005019599,0.0003054202,0.2365798],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01811309,"threshold_uncertainty_score":0.06059426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03308754500134443,"score_gpt":0.2842305886456291,"score_spread":0.2511430436442846,"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."}}