{"id":"W2964604225","doi":"10.15353/acmla.n162.1528","title":"Climate change data","year":2019,"lang":"en","type":"article","venue":"Bulletin - Association of Canadian Map Libraries and Archives (ACMLA)","topic":"Science and Climate Studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Climate change; Environmental science; Geography; Climatology; Geology; Oceanography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002385248,0.0008493966,0.0007558326,0.01420705,0.002584157,0.002789004,0.002209444,0.0008050308,0.04258666],"category_scores_gemma":[0.01000742,0.0004672606,0.0006630041,0.03430384,0.0005215331,0.001403586,0.00181618,0.001796585,0.01301009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01338705,"about_ca_system_score_gemma":0.04352955,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9091624,"about_ca_topic_score_gemma":0.9228116,"domain_scores_codex":[0.9961907,0.0001616789,0.0002195702,0.0003057914,0.002738098,0.0003841548],"domain_scores_gemma":[0.9860162,0.000788032,0.0005995291,0.001045731,0.01071876,0.0008316325],"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":[0.00007863567,0.00002679619,0.005891178,0.0008924787,0.00005926823,0.00005746906,0.0002382099,0.0009927085,0.0005069707,0.004925768,0.9297352,0.05659542],"study_design_scores_gemma":[0.00001100975,0.000003371782,0.01297836,0.0002103476,0.0000197857,0.0000185465,0.0001164257,0.0001623948,0.000305908,0.00067182,0.9854752,0.00002685187],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.000757126,0.001469041,0.0009086066,0.0009169494,0.0003077392,0.0001579384,0.9553886,0.0007580902,0.0393359],"genre_scores_gemma":[0.008665754,0.004250211,0.005011531,0.0006919745,0.0001163506,0.000326244,0.9616252,0.0004927797,0.01882013],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0908376,"threshold_uncertainty_score":0.182745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02019628731152925,"score_gpt":0.1999405804564869,"score_spread":0.1797442931449577,"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."}}