{"id":"W2242938548","doi":"","title":"A Comparative Analysis of Rubble Field Data Collection Techniques","year":2011,"lang":"en","type":"article","venue":"NPARC","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rubble; Radar altimeter; Geology; Field (mathematics); Remote sensing; Geotechnical engineering; Altimeter","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.008828659,0.0005390042,0.000674355,0.009054844,0.0005112842,0.001427959,0.0009489359,0.0004734735,0.001872604],"category_scores_gemma":[0.028707,0.0003124871,0.0007814688,0.006846955,0.0004414999,0.001710144,0.0009891043,0.0003810844,0.0006791658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008481431,"about_ca_system_score_gemma":0.001087312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003771746,"about_ca_topic_score_gemma":0.007673783,"domain_scores_codex":[0.9903413,0.002721299,0.0009803072,0.0008169824,0.004763792,0.0003763084],"domain_scores_gemma":[0.9592364,0.01826972,0.002721249,0.002278929,0.01698742,0.0005062082],"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":[0.001587621,0.0003036018,0.200901,0.002715681,0.0005199507,0.0004396114,0.009505496,0.003223995,0.03169379,0.002303288,0.002536626,0.7442694],"study_design_scores_gemma":[0.00008767404,0.002057175,0.8995714,0.0008734869,0.0004190393,0.0009781115,0.01584418,0.01747785,0.0229521,0.001426029,0.03810332,0.0002096183],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8325566,0.004910222,0.1247631,0.0002950305,0.0001545693,0.002761759,0.005435491,0.001139028,0.0279842],"genre_scores_gemma":[0.8071355,0.003195153,0.1768747,0.0001209042,0.0000746271,0.001642564,0.005408728,0.0003280669,0.005219733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009054844,"threshold_uncertainty_score":0.04669094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05593216475895924,"score_gpt":0.2672265089894666,"score_spread":0.2112943442305074,"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."}}