{"id":"W6944781905","doi":"10.18739/a2jd4pp5f","title":"AmeriFlux CA-Qfo Quebec - Eastern Boreal, Mature Black Spruce. 2003-","year":2018,"lang":"en","type":"dataset","venue":"California Digital Library","topic":"Forest ecology and management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Population; Black spruce; Overwintering; Context (archaeology)","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":[0.001048748,0.003069527,0.001636128,0.006144286,0.0015124,0.002415575,0.00337236,0.001601761,0.04385548],"category_scores_gemma":[0.004229115,0.001173328,0.001143318,0.01405767,0.0005136149,0.001092578,0.001182626,0.001658267,0.03474358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01065652,"about_ca_system_score_gemma":0.01911254,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9709279,"about_ca_topic_score_gemma":0.9814922,"domain_scores_codex":[0.9991121,0.00004206922,0.00007748789,0.0002080363,0.0003116868,0.0002485219],"domain_scores_gemma":[0.9951008,0.0003013174,0.0004517576,0.0005286956,0.00313462,0.0004828433],"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":[0.00006637476,0.00002496149,0.006478101,0.0003112212,0.00004963447,0.0000205923,0.00003535031,0.0002892158,0.00007314089,0.0001622929,0.9899447,0.002544441],"study_design_scores_gemma":[0.0003668359,0.00001641766,0.1259731,0.0006723796,0.00009576453,0.00004665393,0.0002220218,0.001221447,0.0004800576,0.0003716932,0.8704473,0.00008622133],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001716636,0.00003356688,0.00002054013,0.00001331711,0.000007381017,0.000007546842,0.9993506,0.00009858912,0.0002969376],"genre_scores_gemma":[0.0009272683,0.00005428414,0.0001670315,0.00002698979,0.000004067813,0.00006030855,0.9968533,0.00004305781,0.00186364],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04385548,"threshold_uncertainty_score":0.1467112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004677731045205753,"score_gpt":0.1874534013783813,"score_spread":0.1827756703331756,"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."}}