{"id":"W4220678188","doi":"10.26685/urncst.354","title":"Scinapse 2021-2022 Undergraduate Science Case Competition: Surviving the Climate Crisis","year":2022,"lang":"en","type":"article","venue":"Undergraduate Research in Natural and Clinical Science and Technology (URNCST) Journal","topic":"Innovation, Sustainability, Human-Machine Systems","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"University of Ottawa","keywords":"Competition (biology); Climate change; Psychological resilience; Resilience (materials science); Key (lock); Political science; Global warming; Greenhouse gas; Public relations; Psychology; Engineering ethics; Computer science; Engineering; Social psychology; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch","sts","scholarly_communication","research_integrity"],"consensus_categories":["metaresearch","sts"],"category_scores_codex":[0.09305106,0.0002216978,0.0003982286,0.002279131,0.0268269,0.001272276,0.002038322,0.0001512058,0.00007751825],"category_scores_gemma":[0.008666348,0.0001588098,0.00008243188,0.01672744,0.02233676,0.001270418,0.002537419,0.004961513,0.00000825086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001699128,"about_ca_system_score_gemma":0.003525852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002678319,"about_ca_topic_score_gemma":0.008210474,"domain_scores_codex":[0.9896782,0.002596882,0.001040116,0.001027344,0.003699322,0.001958122],"domain_scores_gemma":[0.9939888,0.001770877,0.0003704137,0.0005120581,0.002934571,0.0004232622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006253637,0.0002968012,0.08679576,0.00003250338,0.00002412719,0.001414614,0.001325378,0.00002174165,0.0002009181,0.8779592,0.001126065,0.03074035],"study_design_scores_gemma":[0.001346374,0.000938369,0.01235835,0.00008936982,0.00002136496,0.005122324,0.1334501,0.003740729,0.00002691979,0.8302609,0.01212027,0.0005250149],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7136043,0.0009288901,0.00001580475,0.2823642,0.001023164,0.0005363332,0.000004748637,0.00004853345,0.001474047],"genre_scores_gemma":[0.9968965,0.002222443,0.00007906701,0.0002221695,0.0002871744,0.00003971421,0.000001112385,0.00001108802,0.0002407392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2832922,"threshold_uncertainty_score":0.9997645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05151219787295749,"score_gpt":0.4415634394622936,"score_spread":0.3900512415893361,"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."}}