{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01027995,0.0004735939,0.0003766083,0.0008741674,0.005382211,0.005676711,0.001905085,0.003906938,0.05360274],"category_scores_gemma":[0.01582636,0.0002485802,0.0006008166,0.0008616385,0.002016913,0.002026529,0.007531435,0.003323397,0.009285886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005581245,"about_ca_system_score_gemma":0.01052074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002971129,"about_ca_topic_score_gemma":0.0115808,"domain_scores_codex":[0.9952467,0.001877239,0.0001491169,0.0002448242,0.001301149,0.001180997],"domain_scores_gemma":[0.9818947,0.003054166,0.0005742355,0.0005123519,0.002892255,0.01107229],"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":[0.000260587,0.0006744394,0.001506309,0.0002923082,0.000009038518,0.0029367,0.007389382,0.0006470782,0.001644448,0.02829918,0.9162187,0.04012179],"study_design_scores_gemma":[0.00006758449,0.00030261,0.001799298,0.0001546083,0.000002873207,0.0009266561,0.009825751,0.0006579372,0.0007662318,0.006242834,0.9792235,0.0000300494],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2246054,0.002634814,0.01395268,0.2352896,0.04476857,0.006030153,0.00309438,0.0009762886,0.4686481],"genre_scores_gemma":[0.4921006,0.00222541,0.02118182,0.04083658,0.007420376,0.006246581,0.003419942,0.0005396047,0.4260291],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05360274,"threshold_uncertainty_score":0.179319,"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."}}