{"id":"W3043932001","doi":"10.4000/amerika.12312","title":"Amazon, main basse sur le futur","year":2020,"lang":"fr","type":"article","venue":"Amerika","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Amazon rainforest; Humanities; Art; Biology","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":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007094655,0.0002592106,0.0002844625,0.00002408964,0.0001324798,0.001310269,0.0005615207,0.00008965834,0.0002362397],"category_scores_gemma":[0.0001292625,0.0002168348,0.0001566853,0.0005901262,0.0001876886,0.003074914,0.0003610732,0.0002106426,0.00157183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003830804,"about_ca_system_score_gemma":0.0002884909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002813271,"about_ca_topic_score_gemma":0.0001572553,"domain_scores_codex":[0.9983432,0.00007090604,0.0002720967,0.0004975408,0.00026858,0.0005476551],"domain_scores_gemma":[0.998719,0.00006671325,0.000108068,0.0003687331,0.0001118853,0.0006255759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001980753,0.0001983177,0.00008859555,0.00006691145,0.0000524355,0.0007777435,0.007901128,0.0001184533,0.006034717,0.1469557,0.6003882,0.237398],"study_design_scores_gemma":[0.0004013581,0.0003216821,0.001382304,0.00004764416,0.00001111977,0.0001149188,0.0002274611,0.009242992,0.003101115,0.002045272,0.9827126,0.0003915354],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1023603,0.03627878,0.03948535,0.5953321,0.005232573,0.0005314753,0.0001156207,0.000581563,0.2200822],"genre_scores_gemma":[0.8824393,0.0006682425,0.004449433,0.05275452,0.001584753,0.000005528177,0.00001596792,0.00003669161,0.05804558],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7800789,"threshold_uncertainty_score":0.9997265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2617418655086111,"score_gpt":0.2785956897586742,"score_spread":0.01685382425006315,"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."}}