{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.07122238,0.002214155,0.003155945,0.007762273,0.003239644,0.01240085,0.002718756,0.004752125,0.009933736],"category_scores_gemma":[0.3128572,0.0008441363,0.00179848,0.007595971,0.009066507,0.02488813,0.004729981,0.008083576,0.006087084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004736929,"about_ca_system_score_gemma":0.009523259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03265959,"about_ca_topic_score_gemma":0.02675488,"domain_scores_codex":[0.9667702,0.01652984,0.003202559,0.003948356,0.007889237,0.001659843],"domain_scores_gemma":[0.7831226,0.1012281,0.02156314,0.01643679,0.06966462,0.007984768],"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":[0.0002704777,0.0004795421,0.2326245,0.002517432,0.002928901,0.00009359181,0.002940946,0.003389374,0.0008665495,0.1246118,0.3351552,0.2941217],"study_design_scores_gemma":[0.0002442291,0.0006377148,0.1875214,0.00764076,0.0019847,0.0004279969,0.01479956,0.007705668,0.002629834,0.5268132,0.2487825,0.0008123434],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.03458706,0.04672265,0.09026429,0.7342477,0.02761454,0.0003915257,0.007108134,0.001138591,0.05792556],"genre_scores_gemma":[0.6018115,0.02714786,0.1316469,0.1955482,0.0198559,0.001824799,0.004079968,0.00138106,0.0167038],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9900663,"threshold_uncertainty_score":0.3766645,"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."}}