{"id":"W6939502640","doi":"10.6073/pasta/55fdb1ea7a5b9121f5aced573c97a3a6","title":"Eddy Flux Measurements, Ridge Station, Imnavait Creek, Alaska - 2018 - Provisional","year":2019,"lang":"en","type":"dataset","venue":"Environmental Data Initiative","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ridge; Arctic; Eddy covariance; Flux (metallurgy); Atmosphere (unit); The arctic; Precipitation","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":[0.0007600808,0.001033566,0.0006370534,0.001253653,0.0006190935,0.001083566,0.001047946,0.0006843595,0.008338361],"category_scores_gemma":[0.001102155,0.0004074391,0.0004428396,0.002440993,0.0002188589,0.0006747176,0.0006425204,0.0006639719,0.01519232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006650251,"about_ca_system_score_gemma":0.001685958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08040488,"about_ca_topic_score_gemma":0.1249655,"domain_scores_codex":[0.9996285,0.00003815912,0.00004436644,0.0001293586,0.0001183309,0.00004121069],"domain_scores_gemma":[0.999328,0.00004700087,0.00008614826,0.0001816709,0.0002634817,0.0000937217],"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":[0.000423405,0.0002241542,0.05235079,0.0009152864,0.0002213835,0.0001867221,0.0002347423,0.003078449,0.001778714,0.001076297,0.9168976,0.0226125],"study_design_scores_gemma":[0.0002326014,0.00005982757,0.1209372,0.0002369523,0.00007386028,0.00007954056,0.0003767471,0.003280652,0.002401371,0.001011712,0.8712569,0.00005280379],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004656029,0.00009923884,0.0001967311,0.00004106796,0.00003882793,0.00001397622,0.992792,0.0006682409,0.00149393],"genre_scores_gemma":[0.003828736,0.00005283271,0.0006146375,0.00001107703,0.000006982852,0.00003356993,0.9941142,0.00005516912,0.001282872],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08040488,"threshold_uncertainty_score":0.1598737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08471128818538702,"score_gpt":0.2618176239399492,"score_spread":0.1771063357545621,"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."}}