{"id":"W2994794646","doi":"","title":"Global Warming Potentials Modified for Water Interference in the Atmosphere","year":2000,"lang":"en","type":"article","venue":"80th AMS Annual  Meeting","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trent University","funders":"","keywords":"Atmosphere (unit); Environmental science; Global warming; Climatology; Atmospheric sciences; Interference (communication); Meteorology; Climate change; Geography; Geology; Computer science; Oceanography; Telecommunications; Channel (broadcasting)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006971096,0.000125435,0.0001385956,0.00000544865,0.0001976137,0.0001019382,0.0003032309,0.00004414892,0.0003623241],"category_scores_gemma":[0.00002769344,0.00007324765,0.00006283892,0.0001154245,0.00002950714,0.0001699424,0.000009167314,0.00007676813,0.0001080444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004537843,"about_ca_system_score_gemma":0.00001314716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005409387,"about_ca_topic_score_gemma":0.002745259,"domain_scores_codex":[0.9988169,0.00008319909,0.0002213768,0.0002325273,0.000217946,0.0004280578],"domain_scores_gemma":[0.9996826,0.00005281295,0.00003389299,0.0001367544,0.00004303787,0.00005089159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002471006,0.00009004997,0.2362059,0.00006169422,0.00003621195,0.00002276549,0.00588421,0.07394881,0.0001596496,0.0001283537,0.000800984,0.6824142],"study_design_scores_gemma":[0.003193157,0.000995593,0.8529688,0.0004663114,0.0001028834,0.0000378745,0.01019795,0.07159865,0.00111052,0.03452824,0.02334845,0.001451603],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886262,0.00009097356,0.0001210677,0.0002805264,0.0001696781,0.0002590794,0.0001057482,0.00001555343,0.01033118],"genre_scores_gemma":[0.9989731,0.000005286807,0.0003363062,0.0003130218,0.0001318303,0.000004525477,0.0000577001,0.000002492268,0.0001757386],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6809626,"threshold_uncertainty_score":0.8177412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01992390429201637,"score_gpt":0.2327171154386222,"score_spread":0.2127932111466058,"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."}}