{"id":"W4394527344","doi":"10.6084/m9.figshare.14039504.v3","title":"Tree Functional Trait Application Project V2","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Forest ecology and management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Trait; Tree (set theory); Biology; Forestry; Computer science; Mathematics; Geography; Programming language; Combinatorics","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":[0.002978524,0.001847542,0.001549991,0.003103849,0.0007096941,0.002916236,0.003036722,0.001411985,0.118048],"category_scores_gemma":[0.008523662,0.0009589457,0.001970762,0.003987412,0.0004036416,0.002496203,0.003337205,0.002465044,0.1194357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000885186,"about_ca_system_score_gemma":0.001989122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0062457,"about_ca_topic_score_gemma":0.008969609,"domain_scores_codex":[0.9980742,0.0003747615,0.0002159414,0.0006085632,0.0004720103,0.0002545443],"domain_scores_gemma":[0.9968831,0.001039886,0.0002921347,0.0006851584,0.0008015769,0.0002981188],"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":[0.000123914,0.00003840884,0.001484727,0.0009317882,0.00009326555,0.00004042253,0.0000853126,0.0004752929,0.0004866679,0.001569676,0.98581,0.008860616],"study_design_scores_gemma":[0.0002074665,0.000038747,0.007271134,0.0002643766,0.000056458,0.0001167725,0.0001015983,0.00367176,0.0009062031,0.006730885,0.9805605,0.00007416525],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006718164,0.0001195831,0.004933852,0.0001930265,0.00008624385,0.0001201685,0.9694772,0.02175716,0.002641019],"genre_scores_gemma":[0.001909035,0.0000883565,0.007519524,0.0001786818,0.00003028748,0.0005871503,0.9812847,0.006575893,0.001826298],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.118048,"threshold_uncertainty_score":0.3949099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02560290196824361,"score_gpt":0.2361186859522419,"score_spread":0.2105157839839983,"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."}}