{"id":"W6925910074","doi":"10.18739/a21239","title":"High Spectral Resolution Lidar Deployed at Eureka Nunavut Canada - Customized Access to Data and Images","year":2017,"lang":"en","type":"dataset","venue":"UC Santa Barbara","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Lidar; High resolution; Arctic; Resolution (logic)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004017679,0.0005738767,0.001064793,0.0001853861,0.0004169399,0.0002943155,0.001643689,0.0003684241,0.001019385],"category_scores_gemma":[0.001221306,0.0004382636,0.00007039758,0.0001378337,0.0001427601,0.0002961227,0.002063489,0.0006771698,0.00009467697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004400917,"about_ca_system_score_gemma":0.0008580853,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4439956,"about_ca_topic_score_gemma":0.5928404,"domain_scores_codex":[0.9969088,0.0001061294,0.0004860528,0.001346725,0.0005295012,0.0006227957],"domain_scores_gemma":[0.995825,0.0001120231,0.0003303413,0.003175333,0.0001219605,0.0004353379],"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":[0.001200616,0.00004218057,0.000126469,0.0003403446,0.0001655899,0.0004319427,0.000004465469,1.603274e-7,0.008130091,2.31138e-7,0.9888666,0.0006913611],"study_design_scores_gemma":[0.001348304,0.00007974392,0.005505197,0.0004286034,0.0007832347,0.0001933824,0.000004976921,0.000006996148,0.009301797,0.000002821876,0.9817992,0.00054577],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.03190578,0.002461061,5.59692e-7,0.005915603,0.001273196,0.001100089,0.9572333,0.00004891535,0.00006151775],"genre_scores_gemma":[0.01758349,0.002672022,0.0002745111,0.00194855,0.002015946,0.000004212721,0.9741672,0.00006146813,0.00127256],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1488448,"threshold_uncertainty_score":0.9998938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02615465609395778,"score_gpt":0.2973337573217875,"score_spread":0.2711791012278297,"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."}}