{"id":"W2742251569","doi":"","title":"The Physiography of Southwestern Ontario","year":2016,"lang":"en","type":"article","venue":"Scientific Agriculture","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Forestry; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003900577,0.0000736458,0.0000898154,0.00004147502,0.0005317404,0.00004624785,0.0003737947,0.00007289678,0.0009754944],"category_scores_gemma":[0.00002086811,0.00002449059,0.00008211777,0.0003375023,0.0008280284,0.00008931125,0.00001568612,0.0001019375,0.0005963244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":7.026294e-7,"about_ca_system_score_gemma":0.00005132113,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001076902,"about_ca_topic_score_gemma":0.3788689,"domain_scores_codex":[0.9990627,0.00007359841,0.0001243964,0.0002163666,0.0002311474,0.0002918568],"domain_scores_gemma":[0.9993628,0.0001941478,0.00006122228,0.0002223629,0.00009400188,0.00006550031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001162833,0.000005986404,0.993561,0.000002268117,0.00001316621,0.000001704705,0.000273444,0.000002944088,0.0004449539,0.0001130245,0.004350315,0.001219592],"study_design_scores_gemma":[0.0001016153,0.0000266822,0.9719042,0.000009524479,0.000005184478,0.000009174465,0.0001358046,0.000001350056,0.0004356838,0.001203653,0.02611422,0.00005292945],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912749,0.0003245872,0.000007090993,0.000732609,0.0007363644,0.0000911354,0.00002725682,0.00001391092,0.006792161],"genre_scores_gemma":[0.9787853,0.00001000646,0.00002764442,0.00001269529,0.00002628888,8.945141e-7,0.00002083028,5.305197e-7,0.02111579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.377792,"threshold_uncertainty_score":0.9999378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009523858269094812,"score_gpt":0.1908774076059248,"score_spread":0.18135354933683,"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."}}