{"id":"W2547540446","doi":"","title":"Priddis 3D seismic survey and development of a training centre","year":2008,"lang":"en","type":"article","venue":"","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geophone; Seismic survey; Geology; Seismology; Geophysical survey; Survey research; Reflection (computer programming); Shot (pellet); Geophysics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.001667956,0.0003263238,0.0003049364,0.002281285,0.00120382,0.0006318517,0.001395128,0.0005025865,0.01079731],"category_scores_gemma":[0.001509598,0.0003717712,0.0001774023,0.001527924,0.0004657655,0.0004715938,0.001488303,0.0007961459,0.00338131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002926785,"about_ca_system_score_gemma":0.0175026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2076444,"about_ca_topic_score_gemma":0.4227186,"domain_scores_codex":[0.9991416,0.00009088319,0.00001933399,0.00008506332,0.0005248662,0.000138213],"domain_scores_gemma":[0.9980847,0.00008617066,0.00006242382,0.000210026,0.001124625,0.0004320964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003947466,0.0009669116,0.08179633,0.0002462882,0.00001694456,0.001145727,0.003042254,0.02861244,0.06182555,0.01141305,0.08509699,0.7254429],"study_design_scores_gemma":[0.0002718155,0.0008519355,0.2377035,0.0001890802,0.00002426052,0.0007947699,0.002641948,0.08038823,0.02896867,0.00176405,0.646277,0.0001248629],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4829272,0.0006687741,0.2903991,0.005362491,0.0004659086,0.005484365,0.02000583,0.006922106,0.1877642],"genre_scores_gemma":[0.3938646,0.00048968,0.4661218,0.0006023612,0.00009322882,0.00177476,0.01958623,0.0004452311,0.117022],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2076444,"threshold_uncertainty_score":0.4128715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05151518904107343,"score_gpt":0.2153823922835422,"score_spread":0.1638672032424687,"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."}}