{"id":"W4411761077","doi":"10.1093/ornithapp/duaf040","title":"Assessing <i>Catharus bicknelli</i> (Bicknell’s Thrush) habitat dynamics: A high-resolution model based on LiDAR metrics","year":2025,"lang":"en","type":"article","venue":"Ornithological applications","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Ressources naturelles et des Forêts; Université Laval; Ministère des Ressources naturelles et des Forêts (Québec); Environment and Climate Change Canada","funders":"","keywords":"Thrush; Dynamics (music); Remote sensing; Lidar; Geography; Computer science; Habitat; Ecology; Physics; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004135518,0.0002899184,0.0002736293,0.0001938228,0.0007655679,0.0001868024,0.000499534,0.0002568072,0.0001412606],"category_scores_gemma":[0.0001157335,0.0002507668,0.000139771,0.001927595,0.0004328014,0.0001567059,0.0001778592,0.0004343792,0.001200103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005206877,"about_ca_system_score_gemma":0.00005292221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002864069,"about_ca_topic_score_gemma":0.00004588031,"domain_scores_codex":[0.9978023,0.000115916,0.0004124385,0.0008456486,0.0003850732,0.0004386914],"domain_scores_gemma":[0.9983166,0.0003853544,0.0001546165,0.000942226,0.00004581762,0.0001553213],"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":[0.00006689524,0.002632071,0.0218141,0.00004191668,0.00003872254,0.000009213185,0.00007077382,0.6245764,0.0131507,0.04618844,0.0111695,0.2802413],"study_design_scores_gemma":[0.0005786539,0.00008245603,0.05791232,0.00003623168,0.0001153386,0.00000723947,0.0001042852,0.8776997,0.001120496,0.03944172,0.02232166,0.0005799559],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03843451,0.00002695139,0.8366362,0.003209896,0.00004878564,0.0007422371,0.00004859556,0.0003317711,0.120521],"genre_scores_gemma":[0.9075313,0.00001714459,0.08873335,0.002110731,0.0000337317,0.0002351179,0.0001526849,0.00002351951,0.00116245],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8690968,"threshold_uncertainty_score":0.9999945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01827701788166921,"score_gpt":0.2711280626361017,"score_spread":0.2528510447544325,"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."}}