{"id":"W2908821488","doi":"10.4095/247787","title":"Geophysical series, NTS 40 I and part of 40 J, 40 O, 30 L and 30 M, airborne geophysical survey, southern Ontario","year":2009,"lang":"en","type":"report","venue":"","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Geology; Series (stratigraphy); Geophysical survey; Geophysics; Paleontology","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":[0.0005274208,0.001356189,0.0009489536,0.0028708,0.002443307,0.001409738,0.001719262,0.0006128171,0.06216456],"category_scores_gemma":[0.002854438,0.0008695667,0.0004844948,0.0083506,0.0007202997,0.0009865344,0.0008390261,0.001291933,0.02312809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01736617,"about_ca_system_score_gemma":0.04637483,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9830367,"about_ca_topic_score_gemma":0.9925908,"domain_scores_codex":[0.9992337,0.00002494743,0.00004746108,0.0001100014,0.0004565674,0.0001272896],"domain_scores_gemma":[0.9965084,0.0002025227,0.0002450417,0.000290951,0.002341015,0.000412012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0004431411,0.00009251258,0.04318355,0.0003565326,0.00004208577,0.0001626712,0.0006384326,0.001795665,0.002085804,0.001327383,0.9141578,0.03571443],"study_design_scores_gemma":[0.0002070147,0.00006450847,0.3892166,0.00009821574,0.00005245356,0.0001336734,0.0008785345,0.00253031,0.002168181,0.0006301085,0.6039748,0.00004561388],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.02352336,0.001067606,0.001708377,0.0009847009,0.0005675859,0.0004453128,0.8883154,0.0008427189,0.08254482],"genre_scores_gemma":[0.05399406,0.002836537,0.004352907,0.0001844919,0.00019577,0.0003731087,0.4109333,0.0008813392,0.5262485],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06216456,"threshold_uncertainty_score":0.2079611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02778307590927377,"score_gpt":0.233727706403446,"score_spread":0.2059446304941722,"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."}}