{"id":"W4378781601","doi":"10.1089/ast.2022.0071","title":"NoRCEL's Engagement in Africa: The AstroScience Exploration Network (ASEN)","year":2023,"lang":"en","type":"article","venue":"Astrobiology","topic":"Space Science and Extraterrestrial Life","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Nortel (Canada)","funders":"","keywords":"Asset (computer security); Variety (cybernetics); Key (lock); Funnel; Business; Political science; Economy; Computer science; Engineering; Computer security; Economics; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007678983,0.000089423,0.0001049802,0.00003403928,0.0001939607,0.00003879001,0.0002515381,0.00002288728,0.0001110213],"category_scores_gemma":[0.00001256827,0.00006037506,0.00003816504,0.0006900813,0.0001205841,0.0002017407,0.00009442963,0.0001448461,0.0004160386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001104788,"about_ca_system_score_gemma":0.00003829265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001089674,"about_ca_topic_score_gemma":0.00004660289,"domain_scores_codex":[0.9989109,0.0001524426,0.0001594321,0.0002275597,0.00007220854,0.0004774658],"domain_scores_gemma":[0.9996098,0.0001052406,0.00005704852,0.0001789153,0.00001289301,0.00003615825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009529066,0.0001656318,0.5960854,0.000003831226,0.00004669546,0.00001169969,0.004580898,0.161953,0.02557633,0.1106175,0.06317542,0.03768833],"study_design_scores_gemma":[0.004047371,0.001039185,0.3367928,0.0001004846,0.00005391777,0.000003506709,0.0319346,0.02055985,0.005217316,0.06107334,0.5377255,0.001452152],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799737,0.00001349819,0.00848485,0.004425688,0.001533427,0.000376843,0.00001310486,0.00007162776,0.0051072],"genre_scores_gemma":[0.9986286,0.000002513858,0.0002057744,0.00005837778,0.0005109462,0.00007029363,0.00003282998,0.000004371777,0.0004863169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4745501,"threshold_uncertainty_score":0.5347473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06307567151983652,"score_gpt":0.2826005218110407,"score_spread":0.2195248502912042,"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."}}