{"id":"W4280599188","doi":"10.3390/f13050761","title":"The Seasonal Fluctuation of Timber Prices in Hyrcanian Temperate Forests, Northern Iran","year":2022,"lang":"en","type":"article","venue":"Forests","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Beech; Temperate climate; Agricultural economics; Seasonality; Mathematics; Agroforestry; Environmental science; Geography; Forestry; Economics; Ecology; Statistics; Biology","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":[0.0003216647,0.00008644367,0.00007532092,0.0000370161,0.0002494538,0.00002211084,0.0003235191,0.00001682498,0.001666975],"category_scores_gemma":[0.00002078826,0.00006579341,0.00003870286,0.0003433265,0.0001089225,0.0001194679,0.0002824013,0.00009836992,0.0002949248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001232486,"about_ca_system_score_gemma":0.0000126294,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002147069,"about_ca_topic_score_gemma":0.1742762,"domain_scores_codex":[0.999036,0.00004450882,0.0001708996,0.0001541883,0.0003658389,0.0002285605],"domain_scores_gemma":[0.9996389,0.00003970748,0.00008604499,0.0001963166,0.000003626972,0.000035432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002959426,0.0000338798,0.9702973,0.000004156064,0.00000580201,0.000002500206,0.0006443316,0.01958586,0.00003979546,0.0012149,0.005699968,0.002441908],"study_design_scores_gemma":[0.0002291832,0.00006490543,0.9467249,0.000002736525,0.00000446786,0.000001312632,0.00004366017,0.009545991,0.00001737214,0.001470513,0.04181287,0.00008211953],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875441,0.00003217526,0.000006633006,0.0005069243,0.00008763014,0.0002390012,0.00000803107,0.00001384115,0.01156164],"genre_scores_gemma":[0.9957573,0.000005505276,0.00004608748,0.00006378222,0.00003057187,0.00006077558,0.00002036919,0.00001133911,0.004004295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1721291,"threshold_uncertainty_score":0.9992456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009235854633648065,"score_gpt":0.2263312905488258,"score_spread":0.2170954359151778,"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."}}