{"id":"W6977056482","doi":"10.6084/m9.figshare.c.3294749.v1","title":"Response of a boreal forest to canopy opening: assessing vertical and lateral tree growth with multi-temporal lidar data","year":2016,"lang":"en","type":"other","venue":"Figshare","topic":"Aquatic and Environmental Studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Canopy; Taiga; Deciduous; Boreal; Lidar; Black spruce; Hardwood; Crown (dentistry); Silviculture","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":[],"consensus_categories":[],"category_scores_codex":[0.0003358212,0.0002225199,0.0001820725,0.0004329514,0.0004382839,0.0003875603,0.00029699,0.0002101314,0.0003019465],"category_scores_gemma":[0.0006834454,0.0001223887,0.0001489076,0.0005096216,0.0001976575,0.0003038896,0.0002802139,0.0001794048,0.00007030265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008217311,"about_ca_system_score_gemma":0.0004496799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1789753,"about_ca_topic_score_gemma":0.4469668,"domain_scores_codex":[0.9998109,0.00001721476,0.000008745667,0.00005435902,0.00006788615,0.00004096521],"domain_scores_gemma":[0.9995,0.0001006968,0.0001019378,0.00003244183,0.0001656519,0.0000992013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001455243,0.00006586519,0.9635714,0.00003229949,0.00003306021,0.00007811883,0.0003515101,0.001250925,0.01781243,0.00003240859,0.0001602847,0.01646621],"study_design_scores_gemma":[9.286873e-7,0.00002220672,0.9980652,0.000001430689,0.000005098081,0.00003828111,0.0001519522,0.001211151,0.0003850106,0.000007686949,0.0001079638,0.000003097027],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9992697,0.00003485437,0.0002007254,0.0000059809,0.000001329995,0.00000382245,0.000209651,0.00000978283,0.0002642466],"genre_scores_gemma":[0.9987947,0.00002613001,0.0006806395,0.000007341615,0.000001474444,0.00000512202,0.0003944816,0.000002275606,0.00008786801],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1789753,"threshold_uncertainty_score":0.3558671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06103468117841868,"score_gpt":0.2690711729596396,"score_spread":0.2080364917812209,"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."}}