{"id":"W3005472053","doi":"10.22564/7simbgf2016.175","title":"Petrofísica de Folhelhos Negros da Bacia do Araripe","year":2016,"lang":"pt","type":"article","venue":"Proceedings of the 7 Simpósio Brasileiro de Geofísica","topic":"Geography and Environmental Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Geology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009280404,0.000835392,0.0007610165,0.00012827,0.0009854636,0.0001791979,0.002305746,0.0004219534,0.002556305],"category_scores_gemma":[0.0004230822,0.0005317723,0.0008037681,0.0008363334,0.002125393,0.0006681239,0.00230121,0.0005656531,0.0006816041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007089228,"about_ca_system_score_gemma":0.00004843236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003592516,"about_ca_topic_score_gemma":0.00002625375,"domain_scores_codex":[0.9947925,0.00005825068,0.0008405949,0.001163163,0.001175748,0.00196974],"domain_scores_gemma":[0.9977868,0.0002399354,0.0007622364,0.0006146472,0.00004527421,0.0005510821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001597629,0.0004282787,0.7966813,0.0001241031,0.0001726978,0.000003446783,0.001717518,0.00001983173,0.1700378,0.0006521119,0.02051175,0.009491305],"study_design_scores_gemma":[0.001212526,0.000356076,0.9343968,0.0004926522,0.0002866428,0.00004836973,0.001494849,0.00006654848,0.04253207,0.003764905,0.01454617,0.0008024021],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9778249,0.0007408753,0.00009556638,0.004319994,0.0005519066,0.0007859596,0.0001612888,0.0000966248,0.01542289],"genre_scores_gemma":[0.9911397,0.0009308456,0.0005736614,0.0006405497,0.0002169299,0.0001007649,0.000001119888,0.00008698388,0.006309486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1377154,"threshold_uncertainty_score":0.9997134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009885382790818308,"score_gpt":0.2077226574370326,"score_spread":0.1978372746462143,"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."}}