{"id":"W7082628534","doi":"10.5281/zenodo.17179802","title":"2001 Arctic Social Sciences Program Workshop","year":2001,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Arctic; Agency (philosophy); Social studies; Indigenous; State (computer science); Interview; Social research; The arctic","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":[0.009882015,0.001082635,0.000677271,0.001772235,0.01004918,0.007684771,0.001989251,0.004413481,0.1023398],"category_scores_gemma":[0.007064552,0.0004843248,0.001078177,0.001794451,0.0008968479,0.002633943,0.007161252,0.00394829,0.03986461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007419325,"about_ca_system_score_gemma":0.02258395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02753196,"about_ca_topic_score_gemma":0.0583557,"domain_scores_codex":[0.9958951,0.001687335,0.0002337263,0.0005887975,0.0008663079,0.0007287058],"domain_scores_gemma":[0.9950245,0.0005331401,0.0001549724,0.0001851498,0.001745958,0.002356278],"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":[0.000138318,0.000206729,0.000958777,0.0002369107,0.00001315753,0.0003614043,0.004629731,0.0002792339,0.0002777763,0.006322057,0.9405611,0.04601499],"study_design_scores_gemma":[0.000008123321,0.00002546764,0.001009853,0.0001925486,0.000003641944,0.00002414477,0.00367516,0.00003722309,0.00006526347,0.0009216177,0.9940292,0.000007781613],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0189404,0.01421156,0.004398942,0.1327249,0.06089966,0.001435585,0.008511141,0.0006869849,0.7581909],"genre_scores_gemma":[0.05529629,0.01297428,0.005254537,0.01347647,0.005912121,0.002514228,0.01105013,0.0003722944,0.8931497],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1023398,"threshold_uncertainty_score":0.3423606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05380519047495772,"score_gpt":0.2929674856787909,"score_spread":0.2391622952038332,"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."}}