{"id":"W6969147859","doi":"10.5683/sp3/vcbljs","title":"Dataset for 'Climate frameworks for the Middle Stone Age and Later Stone Age in Northwest Africa'","year":2024,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Middle Stone Age; Stone Age; Code (set theory); Period (music); Precipitation; Population","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":[0.001087309,0.00167736,0.001139021,0.003972057,0.0008466291,0.001721089,0.002678348,0.001671014,0.1235618],"category_scores_gemma":[0.005418827,0.0009454177,0.001221565,0.007837584,0.0003874312,0.001628288,0.00173444,0.001707689,0.0652155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002640283,"about_ca_system_score_gemma":0.004824103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1258736,"about_ca_topic_score_gemma":0.1647318,"domain_scores_codex":[0.9994761,0.00007886534,0.00006793769,0.000129585,0.000118306,0.0001292255],"domain_scores_gemma":[0.9976343,0.0007301238,0.0002569679,0.0003992794,0.0007271601,0.0002521448],"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":[0.00004075086,0.00001466859,0.001216888,0.000534754,0.0000253435,0.00002042154,0.00004430929,0.0006910309,0.00005171533,0.0008129841,0.994128,0.002419229],"study_design_scores_gemma":[0.0001932092,0.000006439484,0.007154485,0.0004592497,0.00002143598,0.00003448851,0.0001536085,0.0005240699,0.0001914778,0.001291699,0.9899411,0.00002876955],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000506519,0.00001351264,0.00003255409,0.00002262202,0.000008181041,0.000003512996,0.9995564,0.00006514503,0.0002474664],"genre_scores_gemma":[0.0004046614,0.00004010208,0.0002318032,0.00002333534,0.000003131661,0.00006199899,0.9986546,0.00005990061,0.0005204198],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1258736,"threshold_uncertainty_score":0.4133555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04601815791628876,"score_gpt":0.3044151418333197,"score_spread":0.258396983917031,"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."}}