{"id":"W6969261236","doi":"10.5683/sp3/isgyq9","title":"Turkey Point Flux Station 2002 Forest (TP1)","year":2014,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Chronosequence; Taiga; Boreal; Carbon flux; Carbon sink; Deciduous; Temperate climate; Carbon sequestration; Sink (geography)","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":[0.0001358047,0.0005189835,0.0002964451,0.000968493,0.0006050103,0.0006577292,0.0006163947,0.0002954713,0.08309635],"category_scores_gemma":[0.0002407758,0.0002223356,0.0001248619,0.001402276,0.0000924869,0.0005647959,0.0002812792,0.0003465789,0.03007909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001416575,"about_ca_system_score_gemma":0.001279097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1055221,"about_ca_topic_score_gemma":0.184608,"domain_scores_codex":[0.9998364,0.000008948752,0.00000528519,0.0000719754,0.00005489911,0.00002242801],"domain_scores_gemma":[0.999806,0.000008092338,0.00001705078,0.00001966722,0.0001305239,0.00001870856],"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":[0.0006182438,0.00007663211,0.03413997,0.0002763081,0.00002850408,0.0002922992,0.0001276851,0.001176484,0.003024447,0.002841563,0.8012196,0.1561781],"study_design_scores_gemma":[0.00008494371,0.00005294094,0.1274378,0.0000977696,0.00002057717,0.0002510149,0.0002154945,0.002470128,0.001905843,0.0006870602,0.8667528,0.0000235388],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.07889917,0.0007188324,0.003910196,0.0005387347,0.0005942797,0.0002812081,0.6302711,0.0028716,0.2819149],"genre_scores_gemma":[0.1870411,0.0007591351,0.0133246,0.0002547405,0.0001741296,0.0003504171,0.5445727,0.001431187,0.2520921],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1055221,"threshold_uncertainty_score":0.277985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01720435567123561,"score_gpt":0.26745111552005,"score_spread":0.2502467598488144,"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."}}