{"id":"W6986339104","doi":"","title":"Perfil etnobioestratigrÁfico das Minas de Nova Olinda, Formação Crato da Bacia do Araripe","year":2017,"lang":"pt","type":"article","venue":"Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)","topic":"Geography and Environmental Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Nova scotia; Fjord; Coastal zone","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005024423,0.000450819,0.0003632502,0.002175339,0.001032036,0.0008617087,0.0006230619,0.0005672832,0.01049458],"category_scores_gemma":[0.001348216,0.0002776553,0.0004326486,0.003050419,0.0004674918,0.0007769095,0.0008154623,0.0004995479,0.001402289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001928769,"about_ca_system_score_gemma":0.000983827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1451017,"about_ca_topic_score_gemma":0.2683254,"domain_scores_codex":[0.9994709,0.00005349352,0.00002841735,0.0001121675,0.0001785098,0.0001565505],"domain_scores_gemma":[0.9987479,0.0003145681,0.0002707677,0.00004470153,0.0004305644,0.0001914627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000989049,0.0001594262,0.7897711,0.001101724,0.0001814668,0.002107409,0.00722602,0.001268884,0.02299324,0.001706376,0.01228106,0.1602142],"study_design_scores_gemma":[0.0000039989,0.0001178166,0.9568529,0.0001335233,0.00003800243,0.0004041283,0.003847383,0.0001192877,0.00350739,0.0001940355,0.03476416,0.00001733955],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.906334,0.01354852,0.0005147621,0.001401941,0.0001262303,0.00006110308,0.01512682,0.00006335261,0.06282339],"genre_scores_gemma":[0.9686835,0.00570098,0.001192685,0.0001388977,0.00002392823,0.00004898694,0.004220708,0.0000273301,0.01996307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1451017,"threshold_uncertainty_score":0.2885141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08017468201077639,"score_gpt":0.379153421530043,"score_spread":0.2989787395192666,"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."}}