{"id":"W7056442456","doi":"","title":"The enjoyment factor : examining the relationship between enjoying and understanding science","year":2007,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University","keywords":"Logistic regression; Science education; Scope (computer science); Scientific literacy; Test (biology); Preference","routes":{"ca_aff":false,"ca_fund":true,"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":[0.002841491,0.0003833583,0.0004031482,0.001505258,0.001584739,0.003588598,0.0007254878,0.0008530197,0.01356626],"category_scores_gemma":[0.01298574,0.0003118591,0.0008984546,0.0009376201,0.001562636,0.001714922,0.002495338,0.002211763,0.0008436567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001470407,"about_ca_system_score_gemma":0.00192489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01408532,"about_ca_topic_score_gemma":0.02321894,"domain_scores_codex":[0.9990026,0.0003392492,0.00006522959,0.0001073144,0.0002814181,0.0002041743],"domain_scores_gemma":[0.9854885,0.005616468,0.003404393,0.0007818544,0.001039428,0.003669367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00027175,0.00112339,0.9493393,0.0001223685,0.0001906138,0.0001141606,0.01414573,0.00008091981,0.0005015972,0.001548841,0.002502112,0.03005922],"study_design_scores_gemma":[0.00001088316,0.0001724574,0.9847869,0.0000672883,0.00005179454,0.00005800758,0.01188524,0.0001850943,0.0001163493,0.0005025184,0.002148396,0.00001509571],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881117,0.0003943948,0.0002539465,0.001154233,0.00004654555,0.00004639929,0.0002091048,0.00001047566,0.009773158],"genre_scores_gemma":[0.9891692,0.0006953434,0.0005542445,0.0002879265,0.00004145143,0.0001033471,0.0003876539,0.00001965477,0.008741066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01408532,"threshold_uncertainty_score":0.04538363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0992887226803706,"score_gpt":0.3297339618671181,"score_spread":0.2304452391867475,"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."}}