{"id":"W2981354665","doi":"10.4095/214824","title":"Residual magnetic total field, Little Drowning Lake, Ontario","year":2003,"lang":"en","type":"report","venue":"","topic":"Geomagnetism and Paleomagnetism Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Residual; Environmental science; Field (mathematics); Hydrology (agriculture); Geology; Geography; Geotechnical engineering; Mathematics","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":[0.00008112855,0.0001887314,0.0001542774,0.0007047108,0.002936345,0.0004603491,0.0004389859,0.0002041566,0.007244165],"category_scores_gemma":[0.0003727521,0.0001702275,0.0001186864,0.0008227944,0.0004269129,0.0001982619,0.0003508312,0.000262914,0.001328396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006769956,"about_ca_system_score_gemma":0.006166969,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9658717,"about_ca_topic_score_gemma":0.9925305,"domain_scores_codex":[0.999877,0.000004159718,0.00000465709,0.00002339934,0.00006166369,0.00002915471],"domain_scores_gemma":[0.999634,0.00001444219,0.00002777525,0.00001093988,0.0002341824,0.00007868876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001805288,0.0001888246,0.8244623,0.0004195858,0.00008585126,0.005521823,0.01600724,0.0005068972,0.03280828,0.001195755,0.04031081,0.07668734],"study_design_scores_gemma":[0.00002051642,0.000118927,0.9588497,0.00003080003,0.0000216666,0.0003422075,0.003553805,0.00009042347,0.001624813,0.00005563544,0.03527916,0.00001232102],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9271498,0.0007218104,0.0003167446,0.0005973992,0.00004614125,0.0001152836,0.01281855,0.00007337316,0.05816095],"genre_scores_gemma":[0.8156175,0.0008859081,0.0007952168,0.0001528355,0.00001807854,0.00004402494,0.006451601,0.00003757266,0.1759973],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03412831,"threshold_uncertainty_score":0.06865853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01523169247949139,"score_gpt":0.2426140460002199,"score_spread":0.2273823535207286,"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."}}