{"id":"W2981566438","doi":"10.4095/299719","title":"3D surficial geological models in Canada: an annotated bibliography","year":2017,"lang":"en","type":"report","venue":"","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Bibliography; Annotated bibliography; Geology; Library science; Archaeology; Geography; 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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0009175861,0.001817066,0.0007881401,0.01172122,0.002436799,0.003654785,0.003360369,0.0008738884,0.02420087],"category_scores_gemma":[0.00375616,0.0009109405,0.001289839,0.0335185,0.0008419445,0.001646217,0.00149026,0.0006987209,0.009130727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02367115,"about_ca_system_score_gemma":0.06730567,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9875683,"about_ca_topic_score_gemma":0.9896954,"domain_scores_codex":[0.9989945,0.00002709747,0.00006706949,0.00008564872,0.0007523095,0.00007336257],"domain_scores_gemma":[0.9964252,0.0002511528,0.00007863765,0.0002075659,0.002934971,0.0001023632],"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":[0.00005712567,0.00004751782,0.005409354,0.002365497,0.00007613847,0.0002170877,0.0005645885,0.05167451,0.001008295,0.01896313,0.5257558,0.393861],"study_design_scores_gemma":[0.0000079007,0.000005493152,0.004425109,0.001045066,0.0000626838,0.00008152502,0.0003240419,0.009431822,0.001033228,0.003640554,0.9798925,0.00005012376],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"review","genre_scores_codex":[0.01365153,0.05207374,0.0950197,0.00291409,0.001374546,0.0006546873,0.6081954,0.009944952,0.2161714],"genre_scores_gemma":[0.06280723,0.1558164,0.1377545,0.0005465889,0.0001628778,0.0007248208,0.439762,0.0046,0.1978256],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9882787,"threshold_uncertainty_score":0.171747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08100029903903071,"score_gpt":0.2597966689641164,"score_spread":0.1787963699250857,"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."}}