{"id":"W4213454111","doi":"10.1016/j.jag.2022.102727","title":"Estimating species-specific leaf area index and basal area using optical and SAR remote sensing data in Acadian mixed spruce-fir forests, USA","year":2022,"lang":"en","type":"article","venue":"International Journal of Applied Earth Observation and Geoinformation","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Spruce budworm; Abies balsamea; Basal area; Balsam; Leaf area index; Choristoneura fumiferana; Forestry; Remote sensing; Synthetic aperture radar; Red edge; Environmental science; Melia azedarach; Vegetation (pathology); Geography; Botany; Biology; PEST analysis; Hyperspectral imaging","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":[0.0006577753,0.0004234645,0.0002251897,0.0007567147,0.0001792232,0.0003949644,0.0002805438,0.0002028071,0.0001677367],"category_scores_gemma":[0.0006417285,0.0001671812,0.0003896328,0.000529616,0.00008746421,0.0003277586,0.0001534703,0.0001471135,0.00007210305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004602539,"about_ca_system_score_gemma":0.0004189127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06485779,"about_ca_topic_score_gemma":0.1198781,"domain_scores_codex":[0.9998715,0.00002888618,0.00001010557,0.00005062879,0.00002003169,0.00001877391],"domain_scores_gemma":[0.9997193,0.00006381578,0.00006400356,0.00002781117,0.00009202329,0.00003299486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007128838,0.0001039633,0.950643,0.00001980145,0.0001494104,0.00008245083,0.00006428581,0.02673667,0.003639784,0.00004383711,0.0003016153,0.01814399],"study_design_scores_gemma":[0.0000113445,0.00005886105,0.7670109,0.000009725517,0.00009525732,0.00005611137,0.0002460857,0.2303708,0.001631814,0.00007339361,0.0004218614,0.00001378306],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987217,0.00007686554,0.0007342406,0.00001576542,0.000002489166,0.000003683699,0.0002614484,0.00003840893,0.0001453529],"genre_scores_gemma":[0.9964742,0.00005533048,0.002427533,0.00001119923,0.000003734973,0.000004791892,0.0009174597,0.000004209583,0.000101553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06485779,"threshold_uncertainty_score":0.1289605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04159569255012927,"score_gpt":0.2427134580204167,"score_spread":0.2011177654702874,"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."}}