{"id":"W4412096595","doi":"10.3390/f16071118","title":"The Phenophases of Mixed-Forest Species Are Regulated by Photo-Hydro-Thermal Conditions: An Approach Using UAV-Derived and In Situ Data","year":2025,"lang":"en","type":"article","venue":"Forests","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"In situ; Environmental science; Ecology; Remote sensing; Geography; Biology; Meteorology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001307152,0.0001909752,0.0001421948,0.0009054996,0.0001673005,0.0002545583,0.0001281797,0.0001570123,0.0003931719],"category_scores_gemma":[0.0002217278,0.0001011632,0.0001306219,0.0006205424,0.0001001704,0.0002470927,0.0001538301,0.00009741862,0.00009169288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001395554,"about_ca_system_score_gemma":0.00008526808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002258787,"about_ca_topic_score_gemma":0.007694202,"domain_scores_codex":[0.9999267,0.00001093286,0.000003940656,0.00003245122,0.00001335772,0.00001260365],"domain_scores_gemma":[0.9998331,0.0000405518,0.0000603025,0.00001411798,0.00003148467,0.00002044745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003543782,0.0001255665,0.7267416,0.0001444125,0.0001090594,0.0002464891,0.000511336,0.002894832,0.2200263,0.0001433919,0.0002156722,0.04848702],"study_design_scores_gemma":[0.000002800279,0.00006534954,0.9836988,0.000006052008,0.00002629492,0.0001740845,0.0002183947,0.008488594,0.006849876,0.00004645232,0.0004171563,0.000006232179],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964384,0.0001185183,0.002511397,0.000004897597,0.00000421705,0.000009368489,0.0002338112,0.00002787535,0.0006514683],"genre_scores_gemma":[0.9971323,0.00004041006,0.00254311,0.000004132812,0.000002312283,0.000007405411,0.0001663905,0.00000474843,0.00009926831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002258787,"threshold_uncertainty_score":0.00449127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02478183575937938,"score_gpt":0.2669736004098568,"score_spread":0.2421917646504775,"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."}}