{"id":"W6887411247","doi":"10.1594/pangaea.597189","title":"Tree-ring measurements of Picea mariana (Black spruce) from sample QUEBEC-261","year":2007,"lang":"en","type":"dataset","venue":"Figshare","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"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":[0.0008027633,0.00179486,0.0013531,0.004725675,0.001447079,0.001448678,0.003707212,0.001250283,0.04068231],"category_scores_gemma":[0.003401756,0.0005866938,0.0009863902,0.01131663,0.0002939454,0.0005617501,0.001053634,0.0009343833,0.02079821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0104649,"about_ca_system_score_gemma":0.01062827,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9617718,"about_ca_topic_score_gemma":0.9771418,"domain_scores_codex":[0.9991727,0.0000493026,0.00005172597,0.0002098021,0.0002854925,0.0002309646],"domain_scores_gemma":[0.9952635,0.0003009958,0.0003062442,0.0004074717,0.003367666,0.0003542129],"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":[0.0000940728,0.00002872878,0.01717333,0.0004985512,0.0001293062,0.00004609389,0.00004927104,0.000436934,0.0002054937,0.0002044249,0.9759122,0.005221664],"study_design_scores_gemma":[0.0004016121,0.00002773783,0.329738,0.0007669115,0.0001625779,0.00008029131,0.0003408309,0.001259393,0.0007017771,0.0003020955,0.6661059,0.0001129526],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000645301,0.00007171906,0.00003280376,0.00002707804,0.000006704267,0.0000116306,0.9985821,0.00007654115,0.0005459609],"genre_scores_gemma":[0.002981666,0.00006909489,0.000191849,0.00002780638,0.000005076204,0.00006584567,0.9948575,0.00003573125,0.001765293],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04068231,"threshold_uncertainty_score":0.1360959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1369694816172509,"score_gpt":0.3140688542999698,"score_spread":0.1770993726827189,"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."}}