{"id":"W2792618079","doi":"10.4095/306531","title":"Near surface seismic database: future online GSC data delivery","year":2018,"lang":"en","type":"report","venue":"","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Database; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003452721,0.001664878,0.001755361,0.008033062,0.001595398,0.005505728,0.005459192,0.001827074,0.188202],"category_scores_gemma":[0.01321327,0.001051248,0.0006845255,0.01502528,0.0005556587,0.004755687,0.005600184,0.001891487,0.2430693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004711491,"about_ca_system_score_gemma":0.007073022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06359013,"about_ca_topic_score_gemma":0.03415436,"domain_scores_codex":[0.9970017,0.0001672628,0.0003100296,0.0003576887,0.001838166,0.0003251348],"domain_scores_gemma":[0.9852402,0.0005675237,0.0003705556,0.003231105,0.009323022,0.001267624],"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":[0.0001033378,0.00004967701,0.0006451644,0.000143289,0.00001104447,0.00007732627,0.00008195549,0.000510514,0.0009799093,0.002551209,0.9549396,0.039907],"study_design_scores_gemma":[0.0000868106,0.00002529363,0.00236444,0.00009153378,0.00001220959,0.00008981962,0.0001430499,0.002604096,0.002889756,0.002838581,0.9887767,0.00007764142],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001926647,0.0002170619,0.02557147,0.001011675,0.0003737358,0.000879495,0.7761492,0.1162715,0.07759913],"genre_scores_gemma":[0.008475315,0.0003784002,0.02743893,0.0008500842,0.0001609919,0.0009207301,0.9059622,0.01808878,0.03772455],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.188202,"threshold_uncertainty_score":0.6295984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08863271369024157,"score_gpt":0.2868953398894475,"score_spread":0.198262626199206,"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."}}