{"id":"W4398323802","doi":"10.7910/dvn/4s6szu","title":"Natural Climate Solutions for Canada","year":2021,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Environmental Policies and Emissions","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Natural (archaeology); Environmental science; Geography; Climatology; Geology; Archaeology","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":[0.0008126016,0.001583757,0.001226419,0.00548346,0.002355914,0.00360616,0.002807744,0.001182155,0.07186818],"category_scores_gemma":[0.007786075,0.000640062,0.001008594,0.02310442,0.0005188366,0.001686609,0.001675379,0.002326365,0.04873014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01941832,"about_ca_system_score_gemma":0.04678726,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9422714,"about_ca_topic_score_gemma":0.9641902,"domain_scores_codex":[0.9985695,0.0001053343,0.0000924435,0.000265652,0.0006332014,0.0003338789],"domain_scores_gemma":[0.9934994,0.0004568541,0.0003086201,0.0005858412,0.004550276,0.0005990036],"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":[0.00001316755,0.000003347962,0.0004126665,0.00009463158,0.00001063065,0.000005209375,0.000009761683,0.000144165,0.00001254769,0.0007167743,0.9975272,0.001049921],"study_design_scores_gemma":[0.00004958833,0.00000215274,0.00336605,0.00017287,0.00001444396,0.00001292431,0.00006268858,0.0003013388,0.0001067381,0.0009635855,0.9949248,0.00002271311],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004467728,0.00004421257,0.00001920791,0.00008687853,0.00001252428,0.000003511725,0.9982956,0.00009729099,0.001396072],"genre_scores_gemma":[0.0004305099,0.0001152241,0.0001663678,0.00005864174,0.000006017003,0.00002179868,0.9977324,0.00007547887,0.001393468],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07186818,"threshold_uncertainty_score":0.240423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01124856092944647,"score_gpt":0.2189961133597135,"score_spread":0.207747552430267,"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."}}