{"id":"W4396893577","doi":"10.17975/sfj-2024-004","title":"2023-2024 High school big data challenge: Leveraging generative ai and data cybersecurity to conserve and foster local biodiversityUnder the Patronage of the Canadian Commission for UNESCO","year":2024,"lang":"en","type":"article","venue":"STEM Fellowship Journal","topic":"Law, AI, and Intellectual Property","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Big data; Computer security; Biodiversity; Computer science; Business; Data science; Data mining; Biology; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.008445859,0.0008526032,0.0005288591,0.001215031,0.003574286,0.01070885,0.002003685,0.004029834,0.08529241],"category_scores_gemma":[0.01054096,0.0004251934,0.0008679032,0.0009909284,0.002799344,0.004956555,0.006626241,0.006277402,0.04851174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005069913,"about_ca_system_score_gemma":0.02223669,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02946819,"about_ca_topic_score_gemma":0.08465617,"domain_scores_codex":[0.9971928,0.0003743326,0.00007388194,0.0002918367,0.001314169,0.0007529024],"domain_scores_gemma":[0.980716,0.001111406,0.0003093177,0.0009107892,0.004274759,0.01267776],"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":[0.00003837614,0.0001042667,0.001250531,0.0000500994,0.000005427427,0.00004640503,0.000167959,0.0002119889,0.000442074,0.008062817,0.9537383,0.03588179],"study_design_scores_gemma":[0.000009093665,0.00004552894,0.001459804,0.00008391778,0.000002222043,0.00003177065,0.0004028054,0.000769875,0.0005288151,0.01111768,0.9855322,0.00001635886],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.01371005,0.003538793,0.02536838,0.6343337,0.05039691,0.000678116,0.01515247,0.004482118,0.2523395],"genre_scores_gemma":[0.07185838,0.004328221,0.03707328,0.09553244,0.01363795,0.0008118642,0.02411191,0.003374984,0.749271],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9705318,"threshold_uncertainty_score":0.2853315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1459346529038411,"score_gpt":0.2878297632973584,"score_spread":0.1418951103935173,"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."}}