{"id":"W3026127998","doi":"10.1080/07038992.2020.1763790","title":"Forest Variable Estimations Using TanDEM-X Data in Hyrcanian Forests","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Remote Sensing","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Variable (mathematics); Forestry; Cartography; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003464628,0.0001155462,0.0001904103,0.0001099389,0.000204506,0.00008673126,0.0003474176,0.00006569193,0.0000678629],"category_scores_gemma":[0.0003991229,0.0001197046,0.0000345059,0.0006132077,0.0001202258,0.0003005407,0.00005695826,0.0002828194,0.00003193526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003200421,"about_ca_system_score_gemma":0.0004971568,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05180383,"about_ca_topic_score_gemma":0.2400381,"domain_scores_codex":[0.9988419,0.00005031903,0.0003772692,0.0002167978,0.0001873216,0.0003263585],"domain_scores_gemma":[0.9987004,0.00004533621,0.0001901311,0.0003605278,0.00003029259,0.0006733024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002207517,0.00001893444,0.06118548,0.00003164545,0.00006551948,0.0011886,0.004229779,0.2933695,0.01007297,0.0001587856,0.01099592,0.6186608],"study_design_scores_gemma":[0.0002132911,0.0000228709,0.01094751,0.00009672609,0.00002966651,0.0005280875,0.0001521912,0.9508542,0.00006974849,0.001111752,0.03581623,0.0001576962],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5776563,0.00007197861,0.4124486,0.003658584,0.0001856834,0.0001570007,0.00001455722,0.00001234779,0.005794936],"genre_scores_gemma":[0.6704659,0.000001796587,0.3290268,0.0003689857,0.000100061,1.67015e-9,0.000006818318,0.00001535781,0.00001425019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6574847,"threshold_uncertainty_score":0.9545103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04217779842342158,"score_gpt":0.2587469347158821,"score_spread":0.2165691362924606,"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."}}