{"id":"W6912897943","doi":"10.5683/sp2/pejzrg","title":"Data from: Phylogenetic history of vascular plant metabolism revealed using a macroevolutionary common garden","year":2021,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Phylogenetic tree; Phylogenetic comparative methods; Phylogenetics; Adaptation (eye); Plant evolution; Macroevolution; Evolutionary physiology; Rate of evolution; Evolutionary dynamics","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":[0.001377282,0.001274408,0.001326008,0.00229752,0.001067126,0.001652968,0.001801705,0.001763622,0.02061889],"category_scores_gemma":[0.004589398,0.0004792593,0.001134638,0.004255708,0.0005461268,0.001104976,0.002061978,0.001328406,0.01620502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006974031,"about_ca_system_score_gemma":0.0007474223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01155072,"about_ca_topic_score_gemma":0.0249302,"domain_scores_codex":[0.9989479,0.0001839499,0.00007899719,0.0005103832,0.0001420258,0.0001366994],"domain_scores_gemma":[0.9979279,0.0008367851,0.0003788958,0.0004505652,0.0002276908,0.0001781447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001571272,0.0001828719,0.07700375,0.007295287,0.001406942,0.0005555331,0.0006866385,0.005163874,0.008360925,0.003162501,0.8727849,0.02182554],"study_design_scores_gemma":[0.0006730349,0.0001026253,0.1800922,0.0006813155,0.0004763717,0.000548358,0.000477796,0.002281222,0.001912477,0.003451934,0.8091538,0.0001489229],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.008630917,0.0004658606,0.0003395153,0.0001010095,0.00002499036,0.000007836075,0.98915,0.0003055085,0.0009743468],"genre_scores_gemma":[0.01341495,0.0001415109,0.0008475673,0.00007402205,0.000008960474,0.00006033483,0.984764,0.000113383,0.0005751696],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02061889,"threshold_uncertainty_score":0.06897706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1276808422129501,"score_gpt":0.3279954882525343,"score_spread":0.2003146460395842,"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."}}