{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007687376,0.00009034795,0.000149967,0.0001940467,0.000274157,0.00008795848,0.0004104433,0.00005311964,0.001313868],"category_scores_gemma":[0.000227627,0.00006341654,0.0001142619,0.0005032377,0.00006030955,0.0001118121,0.0000576173,0.00008304432,0.001459404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008646871,"about_ca_system_score_gemma":0.0001505895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002038714,"about_ca_topic_score_gemma":0.0008685561,"domain_scores_codex":[0.9980417,0.00004778434,0.0004499693,0.0003417767,0.0009291754,0.000189569],"domain_scores_gemma":[0.9989986,0.0001201458,0.00009541723,0.0004803507,0.0001449069,0.0001605245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00003571823,0.0002969031,0.1726421,0.000004224936,0.00004938984,0.00004383762,0.00393159,0.007058217,0.008650622,0.3927362,0.2567275,0.1578237],"study_design_scores_gemma":[0.001638129,0.0002981576,0.5322297,0.00001756551,0.00001774006,0.0000977846,0.001981436,0.01579667,0.001628716,0.2414642,0.2040638,0.0007661727],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8661517,0.00004407076,0.02871312,0.000779354,0.0001699827,0.00006126554,2.690227e-7,0.0001170131,0.1039632],"genre_scores_gemma":[0.9355798,0.00001619856,0.003219729,0.0003352385,0.00007700889,8.362353e-7,0.000001462317,0.000006679421,0.06076306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3595876,"threshold_uncertainty_score":0.999599,"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."}}