{"id":"W2738397003","doi":"","title":"Human Footprint - New Brunswick (JPEG)","year":2008,"lang":"en","type":"article","venue":"","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Footprint; Computer science; Geography; 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":[0.0008503408,0.001221131,0.0007786995,0.004626079,0.0004945882,0.00183646,0.001386692,0.0005706912,0.03186705],"category_scores_gemma":[0.00315754,0.0006852892,0.0005074111,0.01556173,0.0002440259,0.0008008559,0.0008303695,0.00129958,0.01277513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004569761,"about_ca_system_score_gemma":0.007583235,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8602148,"about_ca_topic_score_gemma":0.8627928,"domain_scores_codex":[0.9994434,0.00004937496,0.00006617587,0.00009974045,0.0002552572,0.00008620488],"domain_scores_gemma":[0.9979476,0.00008697415,0.000110013,0.0001724733,0.001568423,0.0001144248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001807728,0.00005335852,0.016604,0.0006591075,0.00008529447,0.0001037968,0.0001538822,0.003281766,0.0006649951,0.00236844,0.8634092,0.1124355],"study_design_scores_gemma":[0.0001051919,0.00002308916,0.1165573,0.0003648336,0.00006564169,0.0001926527,0.0004483338,0.001990338,0.001218408,0.0009300666,0.8780446,0.00005965047],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.006384564,0.00176849,0.002945165,0.0007773793,0.0006687444,0.0001719994,0.9425279,0.001107447,0.04364824],"genre_scores_gemma":[0.04915496,0.003616675,0.01918021,0.0005163283,0.0001022473,0.00057987,0.8437411,0.001292347,0.08181624],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1397852,"threshold_uncertainty_score":0.2812169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2547056605987176,"score_gpt":0.3970339051121064,"score_spread":0.1423282445133888,"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."}}