{"id":"W4311557475","doi":"10.1163/9789004322714_cclc_2020-0027-0209","title":"Nature Canada Highlights Importance of Two Billion Trees Program to Climate and Nature","year":2022,"lang":"en","type":"dataset","venue":"Climate Change and Law Collection","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001477102,0.0002565178,0.0002723719,0.0001062036,0.0005001565,0.00005322506,0.0001643383,0.0002549461,0.004043201],"category_scores_gemma":[0.000007091106,0.0002250503,0.00003472462,0.0005944737,0.00008720502,0.0001357617,0.000457863,0.0004382055,0.000006443055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002144318,"about_ca_system_score_gemma":0.00001334379,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2557058,"about_ca_topic_score_gemma":0.9171203,"domain_scores_codex":[0.9986022,0.00004363234,0.0002136624,0.0004550655,0.0003229316,0.0003625078],"domain_scores_gemma":[0.9994133,0.00002308622,0.0001792701,0.0002611604,0.000009165562,0.000113988],"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":[0.00004525002,0.00004620649,0.001197377,0.0001757454,0.00001575959,0.00001879838,0.0000574477,0.000002542416,0.000007329285,0.0003551086,0.9976982,0.0003801621],"study_design_scores_gemma":[0.0002488961,0.0002644492,0.002746,0.00003795459,0.00006707496,0.000008527169,0.00001923389,0.00003365866,0.00001799212,0.00003261417,0.996272,0.0002516113],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.05733304,0.001320925,2.869564e-8,0.001791873,0.001360515,0.002363607,0.9320034,0.00006831475,0.003758311],"genre_scores_gemma":[0.01265303,0.01769478,0.0000637449,0.004998649,0.0005398957,0.00113475,0.9612128,0.00006306978,0.00163931],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6614145,"threshold_uncertainty_score":0.9968672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01233366155727298,"score_gpt":0.25997798764729,"score_spread":0.247644326090017,"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."}}