{"id":"W6931909025","doi":"10.5683/sp3/fpdsoe","title":"Ground Penetrating Radar (GPR) raw data","year":2024,"lang":"en","type":"dataset","venue":"Borealis","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Raw data; Ground-penetrating radar; Radar; Radar imaging; Early-warning radar","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":[0.0006540582,0.002256042,0.001345152,0.002108068,0.0006395382,0.001493711,0.001893217,0.001354114,0.0193936],"category_scores_gemma":[0.001876986,0.000404698,0.001123419,0.003586406,0.0005273696,0.0007035523,0.001357351,0.001409712,0.06154652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006365181,"about_ca_system_score_gemma":0.001051977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01246571,"about_ca_topic_score_gemma":0.02240946,"domain_scores_codex":[0.9992492,0.00008062,0.000068432,0.0002498262,0.0002160934,0.0001359055],"domain_scores_gemma":[0.9992539,0.00008609489,0.00007371113,0.000205601,0.0003141463,0.00006653063],"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":[0.0002151161,0.0001167208,0.00586396,0.0007606464,0.00009392684,0.0001704413,0.00006369375,0.001928723,0.001679437,0.0005997909,0.9749817,0.01352581],"study_design_scores_gemma":[0.000190697,0.00007688926,0.02897657,0.0002425537,0.00006542219,0.0002513616,0.0002177936,0.001582005,0.002216846,0.001731511,0.9643708,0.00007745522],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002142881,0.000135953,0.0003751761,0.00007108121,0.0000586953,0.00002901959,0.9950691,0.0006319683,0.001486024],"genre_scores_gemma":[0.003150864,0.00007308464,0.0007227766,0.00003646443,0.00001801194,0.00007931522,0.9946538,0.00008459262,0.001181109],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0193936,"threshold_uncertainty_score":0.06487805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06540765918030643,"score_gpt":0.3039686259236726,"score_spread":0.2385609667433661,"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."}}