{"id":"W7097397309","doi":"","title":"FIGURE 1: ROUNDWOOD REMOVALS AND LOG EXPORTS – QUARTERLY VOLUMES","year":2010,"lang":"en","type":"article","venue":"","topic":"Energy, Environment, Agriculture Analysis","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Term (time); Production (economics); Statistical 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":[0.0002569741,0.0006199004,0.0003416986,0.003254076,0.0002221243,0.001217369,0.0006129187,0.0002258621,0.03854158],"category_scores_gemma":[0.003109895,0.0002526312,0.000523367,0.004257836,0.0001274697,0.0009205433,0.0003219079,0.0008959831,0.02561879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005556142,"about_ca_system_score_gemma":0.0004949027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03018193,"about_ca_topic_score_gemma":0.02436495,"domain_scores_codex":[0.9994887,0.00004035696,0.00003660793,0.0001128147,0.0002639854,0.00005750011],"domain_scores_gemma":[0.9980884,0.0003812617,0.0005247479,0.0001067096,0.0008499569,0.00004888075],"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":[0.0004890048,0.0001357079,0.07547045,0.0005081322,0.0001650625,0.0001532352,0.0001781062,0.004716278,0.001070344,0.004499742,0.8585902,0.05402374],"study_design_scores_gemma":[0.00007991985,0.0001357684,0.4761318,0.0002103264,0.00009660466,0.0003407878,0.000637059,0.00409648,0.004779094,0.001166822,0.512256,0.00006938049],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.08841631,0.001242911,0.001825548,0.0008371131,0.0008192497,0.0001114952,0.8244011,0.002456502,0.07988985],"genre_scores_gemma":[0.2251441,0.00201172,0.00165115,0.0002458713,0.0002089118,0.0001436171,0.6424044,0.0008924205,0.1272979],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9614584,"threshold_uncertainty_score":0.1289344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00492845691327477,"score_gpt":0.1964994143795014,"score_spread":0.1915709574662266,"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."}}