{"id":"W4243741863","doi":"10.1145/506558.506617","title":"Hunter gatherer","year":2002,"lang":"en","type":"article","venue":"CHI '02 extended abstracts on Human factors in computer systems - CHI '02","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Hunter-gatherer; Computer science; World Wide Web; Human–computer interaction; Data science; Archaeology; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002134252,0.001033923,0.0007909852,0.004513693,0.003521367,0.00271529,0.001349443,0.001302396,0.1469091],"category_scores_gemma":[0.006350056,0.0007261533,0.0006922253,0.002505404,0.0009503768,0.003593293,0.005549709,0.001137436,0.06969619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004827149,"about_ca_system_score_gemma":0.001828569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003568081,"about_ca_topic_score_gemma":0.01073893,"domain_scores_codex":[0.9988468,0.0002403409,0.00007031759,0.0002488472,0.0004198036,0.000173827],"domain_scores_gemma":[0.9963025,0.001161267,0.0001690262,0.0007710713,0.0007488354,0.0008473732],"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":[0.000649158,0.0002906095,0.009137316,0.0007381856,0.00005635641,0.001068854,0.008237299,0.0002714254,0.007999538,0.0109205,0.4886386,0.4719922],"study_design_scores_gemma":[0.00003461579,0.0001377157,0.004919927,0.0001750133,0.00003601685,0.0007552976,0.00231104,0.0007793506,0.002442634,0.003917406,0.9844117,0.00007931013],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.07031724,0.003839312,0.1602547,0.005608149,0.002492607,0.002838088,0.01179702,0.07004133,0.6728115],"genre_scores_gemma":[0.1181135,0.002329643,0.1728927,0.002766766,0.0003990664,0.001289048,0.01123566,0.007258335,0.6837153],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1469091,"threshold_uncertainty_score":0.49146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06601351340719888,"score_gpt":0.2802433541484786,"score_spread":0.2142298407412797,"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."}}