{"id":"W6929593073","doi":"10.5061/dryad.fv322/1","title":"Sample tree growth data with locations","year":2017,"lang":"en","type":"other","venue":"Figshare","topic":"Healthcare Systems and Technology","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pinus contorta; Picea engelmannii; Sample (material); Geodetic datum; Abies lasiocarpa; Elevation (ballistics); Site index; Dendrochronology; Tree (set theory)","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":[0.0006566691,0.001030934,0.000826175,0.003035181,0.0006489154,0.001133689,0.001328441,0.0005263113,0.2171077],"category_scores_gemma":[0.003769133,0.0005345402,0.000513911,0.005257866,0.0001193469,0.001588365,0.001099075,0.0008305883,0.1455351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006274664,"about_ca_system_score_gemma":0.000828651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008181767,"about_ca_topic_score_gemma":0.01401975,"domain_scores_codex":[0.9993197,0.00004985352,0.00007910757,0.0001892191,0.0002586748,0.0001035116],"domain_scores_gemma":[0.996216,0.0007135753,0.0003184387,0.0008737557,0.001666954,0.000211209],"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":[0.000138379,0.00004401694,0.00495777,0.0002147172,0.00001368028,0.00004545214,0.0000699196,0.0002949733,0.000385029,0.0004903063,0.9732785,0.02006712],"study_design_scores_gemma":[0.0001792098,0.00003727551,0.02401102,0.0001358054,0.00002235101,0.0001000109,0.0001527619,0.001471799,0.001837894,0.001134082,0.9708735,0.00004435793],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001114205,0.00001503846,0.0006455211,0.00003440605,0.00003253606,0.00005086829,0.9891613,0.003264115,0.005682054],"genre_scores_gemma":[0.003195897,0.00003217222,0.003150693,0.00005115825,0.00001995067,0.0002544296,0.9865763,0.001276266,0.005443055],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2171077,"threshold_uncertainty_score":0.7262976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09960241336614227,"score_gpt":0.2917181496449327,"score_spread":0.1921157362787904,"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."}}