{"id":"W6962915461","doi":"10.17871/try.17","title":"15 traits of 34 hebaceous species in Sherbrooke","year":2018,"lang":"en","type":"dataset","venue":"Max Planck Institute for Biogeochemistry","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Mesocosm; Herbaceous plant; Trait; Divergence (linguistics); Disturbance (geology)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000406703,0.0008783353,0.0007626311,0.002086482,0.0007347059,0.0008316142,0.00124704,0.0005018421,0.009833045],"category_scores_gemma":[0.001092248,0.0002945179,0.0004106626,0.003338187,0.0003751229,0.0003725968,0.001010644,0.0005490436,0.006194989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001741793,"about_ca_system_score_gemma":0.001251778,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2077739,"about_ca_topic_score_gemma":0.4096831,"domain_scores_codex":[0.9996505,0.00003427409,0.00002101272,0.0001367891,0.00006612315,0.00009130566],"domain_scores_gemma":[0.9993568,0.00008568224,0.0001279599,0.0001239398,0.0001805058,0.0001251333],"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":[0.001236231,0.0002265677,0.4074773,0.001867832,0.0007236155,0.0008049413,0.001426308,0.001778038,0.007114552,0.00171235,0.5432669,0.0323654],"study_design_scores_gemma":[0.0002316602,0.00003216037,0.7228138,0.0003133614,0.0001077411,0.0001941976,0.00094237,0.0008322935,0.001290481,0.0004127845,0.2727564,0.00007263004],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.09001115,0.0005646526,0.0002939176,0.00009481775,0.00002113871,0.00003080331,0.9069241,0.0001897588,0.001869562],"genre_scores_gemma":[0.05509632,0.0002231086,0.0009671063,0.00006940022,0.00001027722,0.0001254831,0.9410291,0.0000677364,0.002411472],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7922261,"threshold_uncertainty_score":0.4131291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02248358950265103,"score_gpt":0.2563551245650392,"score_spread":0.2338715350623882,"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."}}