{"id":"W7081628045","doi":"10.5281/zenodo.17127579","title":"CLAMPS2 Doppler Lidar VADs","year":2025,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Doppler effect; Lidar; Backscatter (email); Pulse repetition frequency; Doppler radar; Radar; Clutter; Energy (signal processing); Heterodyne (poetry); Troposphere","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005094206,0.0008895277,0.0007395088,0.001816228,0.0005626804,0.001238676,0.001620226,0.0006503573,0.1177182],"category_scores_gemma":[0.002230416,0.0004172054,0.000468325,0.002339457,0.0001671986,0.001109937,0.000725991,0.0008748719,0.04095962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007801689,"about_ca_system_score_gemma":0.0007817817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00943469,"about_ca_topic_score_gemma":0.01122257,"domain_scores_codex":[0.9995916,0.00002604531,0.0000304308,0.00007031381,0.0002321225,0.00004950352],"domain_scores_gemma":[0.9986619,0.0002464264,0.0000645431,0.0002256844,0.0007260048,0.0000755296],"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":[0.0003831521,0.00008429221,0.004570785,0.0002943953,0.00003338411,0.000163171,0.00007972441,0.002691502,0.002021249,0.0009013199,0.9594232,0.02935395],"study_design_scores_gemma":[0.0004251786,0.0001115765,0.01516362,0.0001575865,0.00003539782,0.0002312341,0.0002285906,0.01956814,0.01172683,0.002099361,0.9501433,0.0001092668],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.008133627,0.0001202785,0.005019757,0.0002128796,0.0002444383,0.0002920612,0.9265728,0.04068406,0.01872007],"genre_scores_gemma":[0.02662574,0.0001238426,0.00702268,0.0002327639,0.00009011084,0.0004456853,0.9514236,0.004557565,0.009478028],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1177182,"threshold_uncertainty_score":0.3938065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03066786011462207,"score_gpt":0.2946977837408201,"score_spread":0.264029923626198,"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."}}