{"id":"W4244340068","doi":"10.29173/ikc3171","title":"Beyond single-sensor magnetic surveying. The past, present and future of airborne magnetic acquisition for kimberlite exploration","year":2019,"lang":"en","type":"article","venue":"International Kimberlite Conference Extended Abstracts: 2003","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"De Beers (Canada)","funders":"","keywords":"Kimberlite; Remote sensing; Computer science; Geology; Geophysics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004754311,0.0002377516,0.00026981,0.0001011252,0.00008607291,0.000170441,0.000318786,0.0001203467,0.002156147],"category_scores_gemma":[0.00009018849,0.0001706469,0.00008646719,0.0002957287,0.0001366099,0.0004194217,0.0000231058,0.0002064545,0.0001043618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001039667,"about_ca_system_score_gemma":0.00006042078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002732612,"about_ca_topic_score_gemma":0.00007073929,"domain_scores_codex":[0.9980282,0.0001778674,0.0005187212,0.0004470196,0.0004875251,0.0003407055],"domain_scores_gemma":[0.998105,0.0005494837,0.0002628133,0.0002507624,0.0007013174,0.0001306426],"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":[0.000305025,0.0001511767,0.003467144,0.00006476754,0.00003810305,0.000004720051,0.0002428424,0.0004908224,0.0011572,0.003585558,0.0005900876,0.9899026],"study_design_scores_gemma":[0.0008181374,0.001035681,0.9043797,0.00004254068,0.00004147641,0.00002143961,0.0002839982,0.01521655,0.0007155273,0.0235019,0.05362945,0.0003136138],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9326938,0.003936879,0.002381335,0.01526007,0.003668195,0.002319189,0.0008659735,0.00009385192,0.03878064],"genre_scores_gemma":[0.9911209,0.0001754121,0.004107022,0.0002741894,0.001062809,0.0000172406,0.000376566,0.000008889153,0.002857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9895889,"threshold_uncertainty_score":0.998756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02004954846987992,"score_gpt":0.2455983794168132,"score_spread":0.2255488309469333,"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."}}