{"id":"W6963379408","doi":"10.20383/103.0922","title":"Foliar Functional Trait Mapping of a mixed temperate forest using imaging spectroscopy","year":2024,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Canopy; Temperate forest; Trait; Reflectivity; Temperate climate; Temperate rainforest; Tree canopy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007353745,0.002064533,0.001150804,0.002059202,0.001232624,0.001417396,0.002672386,0.001336676,0.01374398],"category_scores_gemma":[0.002078594,0.0004333685,0.001189239,0.004206209,0.0004933994,0.0005065647,0.0008994546,0.001116392,0.01058663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006336146,"about_ca_system_score_gemma":0.005499595,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8199756,"about_ca_topic_score_gemma":0.9004325,"domain_scores_codex":[0.9994905,0.0000475372,0.00001965407,0.0001550964,0.0001772267,0.0001100529],"domain_scores_gemma":[0.9985445,0.0002277566,0.00008063002,0.0002196847,0.0008094046,0.0001181058],"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":[0.0001524879,0.00008519013,0.01199195,0.0006762177,0.0002215868,0.0001609258,0.0001070865,0.006204868,0.0009781388,0.0009345908,0.9641587,0.01432823],"study_design_scores_gemma":[0.0003412341,0.00003827036,0.1064037,0.000594923,0.0001756269,0.0001978976,0.0003668914,0.01598463,0.0024748,0.002719468,0.8705226,0.0001799718],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003014863,0.0002425619,0.0004628102,0.00007648506,0.00001659237,0.00001741186,0.9941782,0.000684374,0.001306695],"genre_scores_gemma":[0.005053706,0.00008559208,0.0009963074,0.00003288117,0.000004469607,0.00003644785,0.9926955,0.00008292476,0.001012214],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8199756,"threshold_uncertainty_score":0.3621691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06332776327961256,"score_gpt":0.3307551553116429,"score_spread":0.2674273920320304,"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."}}