{"id":"W3049283760","doi":"","title":"Canadian Network for Isotopes in Precipitation (CNIP)and Isotope Climatology and Hydroclimatology in Canada","year":2002,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Precipitation; Environmental science; Stable isotope ratio; Isotope; Climatology; Hydrology (agriculture); Geology; Meteorology; Geography","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":[0.001172343,0.0006408389,0.0008935554,0.004260316,0.004561887,0.002031896,0.001626251,0.0005923152,0.01142864],"category_scores_gemma":[0.003113106,0.0007311232,0.0008431801,0.01343946,0.0005574339,0.0008443145,0.00132369,0.001168402,0.001629421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07318361,"about_ca_system_score_gemma":0.1741183,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9994416,"about_ca_topic_score_gemma":0.999663,"domain_scores_codex":[0.9986389,0.00008704552,0.000102123,0.0001611948,0.0006026205,0.0004080747],"domain_scores_gemma":[0.9930453,0.0001801523,0.0003262068,0.0001358789,0.005409501,0.0009028875],"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":[0.000266372,0.0001406579,0.4162932,0.0006498531,0.000269683,0.0001991979,0.0006656228,0.002887585,0.0003760907,0.008375812,0.4709178,0.09895807],"study_design_scores_gemma":[0.00007429308,0.00002249553,0.8005856,0.0003935552,0.0001271135,0.000121936,0.0008612798,0.003619366,0.0004370663,0.0009839053,0.1926925,0.00008073972],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.153385,0.01836261,0.003960507,0.01688771,0.001108369,0.0006771457,0.7294242,0.001049916,0.07514451],"genre_scores_gemma":[0.6230896,0.02508026,0.01339408,0.002275044,0.0002082499,0.0008089334,0.2068646,0.0004370874,0.1278421],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07318361,"threshold_uncertainty_score":0.5309868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01147602463624822,"score_gpt":0.1892353956594046,"score_spread":0.1777593710231564,"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."}}