{"id":"W4389528869","doi":"10.17190/amf/2006959","title":"AmeriFlux FLUXNET-1F CA-Obs Saskatchewan - Western Boreal, Mature Black Spruce","year":2023,"lang":"en","type":"dataset","venue":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","topic":"Forest ecology and management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Black spruce; Boreal; Taiga; FluxNet; Geography; Environmental science; Forestry; Ecology; Biology; Ecosystem; 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":[0.0009273139,0.002240676,0.001430317,0.00506213,0.0008991546,0.001877062,0.003067962,0.001333599,0.04981228],"category_scores_gemma":[0.002756469,0.000917157,0.0007581825,0.01161108,0.0004023044,0.001322605,0.001136634,0.001688143,0.06320755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005528609,"about_ca_system_score_gemma":0.008119888,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3857491,"about_ca_topic_score_gemma":0.4764782,"domain_scores_codex":[0.9992096,0.00006681705,0.00007236568,0.0002266395,0.0002452642,0.0001791519],"domain_scores_gemma":[0.9979405,0.0002078679,0.0001836358,0.0003798009,0.001056613,0.0002314722],"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":[0.00004147186,0.00001515716,0.001206811,0.0002333072,0.00002647881,0.00001761091,0.00002635911,0.0002882647,0.0001020438,0.0004980842,0.9956216,0.001922827],"study_design_scores_gemma":[0.0002248092,0.000006884025,0.008802909,0.0001857348,0.00002543423,0.00003044994,0.00009091928,0.0005356494,0.0004392565,0.0008856612,0.9887341,0.00003817927],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009081169,0.00001034061,0.00003141455,0.00001224218,0.000003725129,0.000004496107,0.9993384,0.0001146003,0.0003938577],"genre_scores_gemma":[0.000201152,0.00001317261,0.000138677,0.000009427434,9.609995e-7,0.00003041005,0.9990977,0.00004387629,0.0004647503],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6142509,"threshold_uncertainty_score":0.7670076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007538633835851217,"score_gpt":0.2198791556442545,"score_spread":0.2123405218084033,"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."}}