{"id":"W6887493949","doi":"10.1594/pangaea.597158","title":"Tree-ring measurements of Picea mariana (Black spruce) from sample QUEBEC-111","year":2007,"lang":"en","type":"dataset","venue":"Figshare","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Sample (material); Black spruce; Calibration; Sampling (signal processing)","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":[0.0007804746,0.001734841,0.001058007,0.00435752,0.001155714,0.001151252,0.003238168,0.001303697,0.02751154],"category_scores_gemma":[0.002790568,0.0007299727,0.0009009156,0.01128909,0.0003558921,0.0005231273,0.0008271785,0.0008595421,0.01618393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00693559,"about_ca_system_score_gemma":0.008530248,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9583061,"about_ca_topic_score_gemma":0.9819062,"domain_scores_codex":[0.9992664,0.00005194755,0.00003810665,0.0001926378,0.0002522074,0.0001987036],"domain_scores_gemma":[0.9963456,0.0003693817,0.0002912168,0.000511476,0.002201173,0.0002811194],"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":[0.0001777622,0.000060544,0.03803476,0.0006799272,0.0002557035,0.0000869264,0.000162575,0.002056496,0.0007856147,0.0004231055,0.9467828,0.01049398],"study_design_scores_gemma":[0.0002230478,0.00002222319,0.4120255,0.0004041182,0.0001490104,0.00007296246,0.0003453387,0.003132494,0.001005662,0.0003333458,0.5821926,0.00009365036],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002402649,0.0001036625,0.0001244405,0.00002634842,0.00000780036,0.00001654246,0.9961598,0.0002037152,0.000954968],"genre_scores_gemma":[0.006403408,0.00007957076,0.0004244039,0.00003058542,0.000004609022,0.00006878622,0.9899608,0.00007278088,0.002955141],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04169393,"threshold_uncertainty_score":0.09203523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1390020915446459,"score_gpt":0.3134234858692333,"score_spread":0.1744213943245874,"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."}}