{"id":"W6930160664","doi":"10.5281/zenodo.10511585","title":"ANDROID-BASED CONTEXTUALIZED ELECTRONIC STRATEGIC INTERVENTION MATERIALS (ACE-SIMS) ON THE SELECTED TOPICS IN EARTH SCIENCE","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Intervention (counseling); Electronic learning; Quarter (Canadian coin); Earth (classical element); Earth observation satellite","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":[0.001802713,0.0007070465,0.0007618741,0.0006410567,0.0004820861,0.0005171889,0.0005391371,0.0005641383,0.01302839],"category_scores_gemma":[0.006829872,0.0002663067,0.000463099,0.0002927205,0.0004050132,0.0004426039,0.001457749,0.0006865184,0.001804316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003559505,"about_ca_system_score_gemma":0.001010013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006315513,"about_ca_topic_score_gemma":0.001630741,"domain_scores_codex":[0.9991273,0.0003143676,0.0000994858,0.0001786543,0.0001447968,0.0001353186],"domain_scores_gemma":[0.9964402,0.002256522,0.0002981102,0.0002686284,0.000270398,0.0004660797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01540323,0.07027865,0.07898929,0.005633601,0.0002030958,0.001031611,0.032049,0.002897394,0.04251147,0.001913095,0.01150081,0.7375888],"study_design_scores_gemma":[0.007778911,0.09527422,0.671571,0.001679674,0.0009450759,0.0009448408,0.03637405,0.005593505,0.05295166,0.003981591,0.1224816,0.0004239251],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9891865,0.0001016557,0.001873938,0.000125168,0.00005236452,0.002212117,0.0005461516,0.0003802183,0.005521955],"genre_scores_gemma":[0.9623807,0.0003341048,0.0205435,0.0002247641,0.00004159335,0.006901524,0.0006082629,0.00004688005,0.008918543],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01302839,"threshold_uncertainty_score":0.04358429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0256176137426311,"score_gpt":0.2718970307217436,"score_spread":0.2462794169791125,"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."}}