{"id":"W7006129132","doi":"","title":"Student climate change education: The role of scientific technologies in improving public geoscience understandings","year":2017,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Operationalization; Sociocultural evolution; Curriculum; Science education; Climate change; Educational technology; Educational research; Identification (biology); Learning sciences","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":[0.003722938,0.0003334908,0.0003523375,0.000738467,0.001157915,0.003687949,0.0008103927,0.0009850721,0.003625666],"category_scores_gemma":[0.01047171,0.0001843819,0.0003571174,0.000562928,0.001003577,0.002239363,0.002833971,0.001430121,0.0005527249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008614062,"about_ca_system_score_gemma":0.002760094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007204417,"about_ca_topic_score_gemma":0.001157103,"domain_scores_codex":[0.9975412,0.001118567,0.000088599,0.000229706,0.0006876229,0.0003343405],"domain_scores_gemma":[0.9944283,0.002770673,0.0009950356,0.0003033107,0.0006425653,0.0008601196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007451772,0.03411627,0.2451901,0.001193573,0.0001177636,0.0003422234,0.06586411,0.001340106,0.0126988,0.01043031,0.003092617,0.624869],"study_design_scores_gemma":[0.0002362849,0.01634863,0.7108187,0.001165757,0.000402007,0.0005385387,0.1421011,0.005749263,0.0576938,0.01152787,0.05328231,0.0001358662],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992897,0.0001660385,0.0007228409,0.0006232354,0.00001357427,0.0000715038,0.00001397707,0.0000233655,0.005468349],"genre_scores_gemma":[0.9971853,0.0002975356,0.001265115,0.00007552602,0.000007815647,0.00006652295,0.00001664432,0.000004346309,0.001081099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003722938,"threshold_uncertainty_score":0.01968902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01858832340458127,"score_gpt":0.2844742143357453,"score_spread":0.265885890931164,"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."}}