{"id":"W2967347633","doi":"","title":"Dynamics of the Nova Horizonte Microbasin landscape, Southern Amazonia.","year":2019,"lang":"en","type":"article","venue":"Acta Iguazu","topic":"Geography and Environmental Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Nova (rocket); Amazon rainforest; Geography; Nova scotia; Archaeology; Ecology; Engineering","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":["insufficient_payload"],"category_scores_codex":[0.00008797053,0.0001246888,0.0001318679,0.00001264275,0.00008183668,0.000009056602,0.0003407046,0.00004987593,0.002875917],"category_scores_gemma":[0.000005652238,0.00008317619,0.0001148112,0.0001898835,0.0001989122,0.00006482251,0.0003759605,0.0001060823,0.000983591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004395877,"about_ca_system_score_gemma":0.000002099797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007476718,"about_ca_topic_score_gemma":0.00110067,"domain_scores_codex":[0.9991984,0.00002445388,0.0001427845,0.000205975,0.0002112083,0.0002171888],"domain_scores_gemma":[0.9995077,0.0000224034,0.00008621249,0.0003505454,0.000001969337,0.00003114169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001089378,0.00005730436,0.9812424,0.000005851449,0.0000218195,4.195358e-7,0.0003414517,0.00009848769,0.01556386,0.00002260044,0.001146495,0.001488482],"study_design_scores_gemma":[0.0003028864,0.00005779344,0.9910359,0.00001408597,0.00002018091,0.000003559905,0.0009533574,0.0001504224,0.001247791,0.0001966432,0.005857636,0.000159727],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9723773,0.00004735245,0.000005350918,0.0007174473,0.0002061771,0.0001622028,0.00003909088,0.000013058,0.02643201],"genre_scores_gemma":[0.9972553,0.00002049126,0.0001011811,0.0001294978,0.00001190291,0.000002724071,0.000004376767,0.00001148815,0.002463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02487802,"threshold_uncertainty_score":0.9997942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003604970845477231,"score_gpt":0.163994431866182,"score_spread":0.1603894610207048,"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."}}