{"id":"W2411629340","doi":"","title":"Harvesting more Canadian climate data","year":2016,"lang":"en","type":"article","venue":"From the Bottom of the Heap","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Limnology; Paleoecology; Climate change; Environmental science; Physical geography; Ecology; Geography; Climatology; Geology; Biology","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":[0.003318984,0.0009072778,0.00112884,0.01136064,0.006940663,0.008888314,0.002082477,0.001304085,0.1180911],"category_scores_gemma":[0.02015757,0.0007200759,0.001561059,0.03079634,0.001350342,0.003740025,0.004061532,0.00291158,0.02046954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03288502,"about_ca_system_score_gemma":0.08839557,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9857076,"about_ca_topic_score_gemma":0.993194,"domain_scores_codex":[0.9947449,0.0003093644,0.0001862452,0.0006645962,0.003193826,0.0009010821],"domain_scores_gemma":[0.9810125,0.001390736,0.0004740065,0.002498602,0.01255465,0.002069579],"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":[0.00006593882,0.00002195486,0.006687258,0.000218131,0.00006765088,0.00007496559,0.0003743833,0.0005278619,0.0006461846,0.006662753,0.9082004,0.07645248],"study_design_scores_gemma":[0.00001876298,0.000004920186,0.01781317,0.0001715817,0.00003445183,0.00002324973,0.0007628373,0.0003030811,0.0003377748,0.001866604,0.9786096,0.00005390949],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02121475,0.008107122,0.006895935,0.09766495,0.01206741,0.0003606777,0.3997856,0.004076974,0.4498265],"genre_scores_gemma":[0.1287505,0.01286511,0.02391159,0.03683621,0.003510014,0.0003514407,0.3545384,0.004626558,0.4346102],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1180911,"threshold_uncertainty_score":0.395054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01704758216116397,"score_gpt":0.212480574235726,"score_spread":0.195432992074562,"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."}}