{"id":"W4406618473","doi":"10.3390/rs17020334","title":"Monitoring and Prediction of Wild Blueberry Phenology Using a Multispectral Sensor","year":2025,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nova Scotia Community College; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Wild Blueberry Producers Association of Nova Scotia","keywords":"Multispectral image; Phenology; Remote sensing; Environmental science; Meteorology; Geography; Ecology; Biology","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":[0.0002189136,0.00031568,0.0001630725,0.0005312526,0.0001310967,0.000247214,0.0001789614,0.0002584641,0.0006701762],"category_scores_gemma":[0.0002427352,0.0001016101,0.0001636316,0.0002202921,0.00006287055,0.0003362322,0.000105879,0.0001146325,0.0002198236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001817996,"about_ca_system_score_gemma":0.0001237875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002879115,"about_ca_topic_score_gemma":0.005369395,"domain_scores_codex":[0.9999115,0.00001533186,0.000003314248,0.00003389481,0.00002358975,0.00001223988],"domain_scores_gemma":[0.999819,0.00004975596,0.00004226911,0.00001331557,0.00005427601,0.00002139575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003768175,0.0003487016,0.5365133,0.0001780738,0.00009591263,0.0001683046,0.0001365067,0.0195058,0.3110738,0.0001153381,0.000704894,0.1307826],"study_design_scores_gemma":[0.00001368738,0.000412945,0.7803512,0.00001843177,0.00005771677,0.0001982901,0.000110351,0.1836521,0.03423211,0.0001053816,0.0008278374,0.00002010904],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867716,0.0001781735,0.01212484,0.00001769737,0.000006017978,0.00001515465,0.0002093826,0.0001695064,0.0005075813],"genre_scores_gemma":[0.9842246,0.00008407469,0.01504146,0.00001000783,0.000004426389,0.00001297781,0.0002624896,0.000006341877,0.0003534628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002879115,"threshold_uncertainty_score":0.005724788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01271368289042611,"score_gpt":0.2384354169965243,"score_spread":0.2257217341060982,"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."}}