{"id":"W4403504445","doi":"10.1130/abs/2024se-398604","title":"DIGITAL DATA COLLECTION AND DATABASE FOR FIELD AND THIN-SECTION DATA USING THE STRABOSPOT SYSTEM","year":2024,"lang":"en","type":"article","venue":"Abstracts with programs - Geological Society of America","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Computer science; Section (typography); Database; Field (mathematics); Digital data; Computer hardware; Data transmission; Operating system","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":[0.001108715,0.0008096783,0.0009179203,0.005982326,0.0008924765,0.001081257,0.001162884,0.0003768081,0.04391977],"category_scores_gemma":[0.002662081,0.0004673523,0.0004963767,0.005738038,0.0003601615,0.001320139,0.001320488,0.0005984657,0.02513364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007984156,"about_ca_system_score_gemma":0.00244015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009214579,"about_ca_topic_score_gemma":0.01130608,"domain_scores_codex":[0.9990927,0.00007080979,0.0001502395,0.0002719306,0.0003257083,0.00008866085],"domain_scores_gemma":[0.9970138,0.000263991,0.0002283783,0.0009026051,0.001263501,0.0003276223],"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":[0.001719425,0.0006193544,0.04725701,0.001149562,0.0001714012,0.0005416699,0.001076348,0.003841224,0.08521967,0.004079726,0.437466,0.4168586],"study_design_scores_gemma":[0.0006221278,0.0003992314,0.1853122,0.0003937983,0.0002942131,0.0006678965,0.001233997,0.0354088,0.110563,0.004266991,0.6605597,0.0002781178],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.07722353,0.0002479693,0.1710075,0.0003242553,0.0003209131,0.003745623,0.6147522,0.09663826,0.03573984],"genre_scores_gemma":[0.155113,0.0004344859,0.2301704,0.0004299391,0.00021734,0.006796477,0.5672541,0.007498826,0.03208534],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.04391977,"threshold_uncertainty_score":0.1469263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04289508789782835,"score_gpt":0.2731677280736176,"score_spread":0.2302726401757892,"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."}}