{"id":"W4400463396","doi":"10.1111/2041-210x.14382","title":"<i>FLApy</i> : A Python package for evaluating the <scp>3D</scp> light availability heterogeneity within forest communities","year":2024,"lang":"en","type":"article","venue":"Methods in Ecology and Evolution","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Python (programming language); Computer science; Point cloud; Random forest; Spatial heterogeneity; Remote sensing; Ecology; Geography; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001850964,0.002932074,0.001151656,0.001261946,0.0009965441,0.001998693,0.004450547,0.0009218775,0.03881763],"category_scores_gemma":[0.004381971,0.001199936,0.002399272,0.001006881,0.001441687,0.002425798,0.00418579,0.003321075,0.0152484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009406421,"about_ca_system_score_gemma":0.002534859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006937771,"about_ca_topic_score_gemma":0.00756051,"domain_scores_codex":[0.9992662,0.00009862077,0.00006511023,0.0001643572,0.0002762862,0.0001294686],"domain_scores_gemma":[0.9986489,0.0005350551,0.0001455688,0.0002076284,0.0003180377,0.000144757],"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":[0.0009754951,0.000468903,0.01352645,0.003053082,0.0007565626,0.00109391,0.0009003951,0.05550155,0.02241385,0.02049287,0.7306426,0.1501743],"study_design_scores_gemma":[0.0006981583,0.0001876448,0.01267632,0.0003952678,0.0001472008,0.0004866536,0.0002116643,0.6872627,0.04173682,0.03609672,0.2196498,0.0004510226],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.009509769,0.0001879666,0.2890003,0.0004036534,0.0002055606,0.0005357444,0.03292007,0.6606108,0.00662614],"genre_scores_gemma":[0.1232121,0.0005793832,0.5205541,0.001898294,0.0001883258,0.004618817,0.08100908,0.2567781,0.01116177],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.03881763,"threshold_uncertainty_score":0.129858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04552656500728477,"score_gpt":0.3675311643025165,"score_spread":0.3220045992952318,"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."}}