{"id":"W1996044416","doi":"10.1139/x2012-118","title":"Application of shadow fraction models for estimating attributes of northern boreal forests","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Forest ecology and management","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Ministère des Ressources naturelles et des Forêts (Québec); Natural Resources Canada","funders":"Canadian Forest Service; Canadian Space Agency; Université de Sherbrooke; Department of Natural Resources, Government of Newfoundland and Labrador","keywords":"Abies balsamea; Black spruce; Balsam; Basal area; Deciduous; Taiga; Forestry; Site index; Biomass (ecology); Boreal; Environmental science; Range (aeronautics); Geography; Physical geography; Ecology; Botany; Biology; Archaeology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001471372,0.0005882033,0.0003806781,0.0006921419,0.0003928905,0.0005995273,0.000602767,0.0001928721,0.0004702157],"category_scores_gemma":[0.003113059,0.0002713933,0.0004968568,0.0005097992,0.000268852,0.0005859307,0.0004251518,0.000273343,0.00009645432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009357085,"about_ca_system_score_gemma":0.001304886,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1558013,"about_ca_topic_score_gemma":0.1768818,"domain_scores_codex":[0.9996114,0.000151589,0.00001714313,0.0001001674,0.00007503454,0.00004459684],"domain_scores_gemma":[0.9989397,0.0006401397,0.0001362387,0.00009502177,0.0001550832,0.00003390808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000147464,0.00007658286,0.1722658,0.0000432442,0.0002262975,0.00006954128,0.0002543306,0.7515594,0.002988911,0.001042865,0.0004607947,0.07086473],"study_design_scores_gemma":[0.000009558314,0.00004093572,0.05668681,0.000009608855,0.00002868283,0.00006445697,0.00009702369,0.9409333,0.000661188,0.0009386559,0.0005074478,0.00002220381],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7554601,0.0001901225,0.2414209,0.00005027431,0.000008902032,0.00006400258,0.0005620648,0.0005948696,0.001648815],"genre_scores_gemma":[0.9612227,0.00006167896,0.03757818,0.00001417729,0.000005729465,0.00004154798,0.0004798386,0.000039496,0.0005566441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8441987,"threshold_uncertainty_score":0.3097888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0450133853302921,"score_gpt":0.3143018018915097,"score_spread":0.2692884165612177,"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."}}