{"id":"W2966381930","doi":"10.1130/abs/2019am-332817","title":"BUT, HOW DO WE MEASURE THAT?","year":2019,"lang":"en","type":"article","venue":"Abstracts with programs - Geological Society of America","topic":"Engineering and Material Science Research","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Measure (data warehouse); Computer science; Data mining","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006545693,0.0002175978,0.0003839523,0.00001719089,0.0001048454,0.0001670206,0.0005173008,0.0001660545,0.0006236836],"category_scores_gemma":[0.0000414126,0.0001333688,0.0001447926,0.0003057242,0.0008141457,0.000238307,0.0001408579,0.0002525793,0.0002163314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003456071,"about_ca_system_score_gemma":0.00007071049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003057789,"about_ca_topic_score_gemma":0.000001452046,"domain_scores_codex":[0.9976575,0.00005483983,0.0001982449,0.0004851912,0.0008381619,0.0007660009],"domain_scores_gemma":[0.998993,0.0001041069,0.0001904319,0.0003502185,0.0001409398,0.0002213195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002194879,0.0008203146,0.01436296,0.0005146848,0.00009508116,0.0000250836,0.001331666,0.002605506,0.8266418,0.0001971578,0.00237671,0.1508095],"study_design_scores_gemma":[0.004607213,0.01545632,0.131852,0.001494006,0.0001406574,0.0001904104,0.01716161,0.001830834,0.4439059,0.002047387,0.3776847,0.003629059],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934321,0.0002682328,0.0009269093,0.003240085,0.0001437452,0.0005047021,0.00000606724,0.0002226919,0.001255465],"genre_scores_gemma":[0.9749274,0.0001823357,0.02423652,0.00008842439,0.00005520503,0.00004066305,0.000004880579,0.00001416694,0.000450453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.382736,"threshold_uncertainty_score":0.6828898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02981854692070025,"score_gpt":0.2616131864872134,"score_spread":0.2317946395665131,"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."}}