{"id":"W7043867786","doi":"","title":"Terres (dés)humanisées, ressources et climat","year":2014,"lang":"fr","type":"article","venue":"","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Repartition; Climate extremes; Climate change; Context (archaeology)","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":[0.002681256,0.0005040168,0.0004935078,0.002203481,0.003109456,0.007616661,0.0007181711,0.001043117,0.01246714],"category_scores_gemma":[0.003677141,0.0002274555,0.0004776858,0.005873986,0.01314122,0.003895366,0.002900531,0.001865766,0.0007189442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004706958,"about_ca_system_score_gemma":0.005722504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1034941,"about_ca_topic_score_gemma":0.1739699,"domain_scores_codex":[0.9981683,0.0009448651,0.000073239,0.0002899951,0.0003703431,0.0001532199],"domain_scores_gemma":[0.9979144,0.001106928,0.0002174423,0.0003662159,0.0002914654,0.0001035298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007476873,0.00003721748,0.02790766,0.00110272,0.0000983365,0.0005168382,0.08605747,0.002227133,0.00197544,0.7534389,0.007564908,0.1189986],"study_design_scores_gemma":[0.00001541409,0.0000914107,0.08939996,0.001275066,0.00007695959,0.0008558336,0.1055634,0.0007143319,0.00157129,0.1938917,0.6064492,0.00009553775],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.258199,0.05036039,0.03629573,0.04263112,0.001456003,0.0001216503,0.002285616,0.0003538657,0.6082967],"genre_scores_gemma":[0.918125,0.02578639,0.008526029,0.001376022,0.0004172193,0.00008761168,0.0003592654,0.0001122258,0.04521022],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1034941,"threshold_uncertainty_score":0.2057833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1471128347852242,"score_gpt":0.3475277666224073,"score_spread":0.2004149318371831,"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."}}