{"id":"W7095439224","doi":"","title":"Lessons in LeArning Informal science learning in Canada","year":2007,"lang":"en","type":"article","venue":"","topic":"Education, Technology, and Ethics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scientific literacy; Face (sociological concept); Literacy; Science education; Affect (linguistics); Public policy; Science learning","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001625864,0.0000574409,0.00005846593,0.0001168773,0.0001637369,0.00001329916,0.0002434908,0.00005135921,0.0004202209],"category_scores_gemma":[0.0003822961,0.00005675714,0.00000581921,0.0009469445,0.0003094973,0.0002773489,0.0001310199,0.0005973192,0.00003960632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009244417,"about_ca_system_score_gemma":0.00048085,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.902164,"about_ca_topic_score_gemma":0.9957008,"domain_scores_codex":[0.9989813,0.00001316513,0.0001659959,0.0001628286,0.000258645,0.000418069],"domain_scores_gemma":[0.9997252,0.00008416241,0.00003465921,0.00008920624,0.000005529508,0.00006125571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[9.709936e-7,0.000008374656,0.9755998,0.00000108053,1.418547e-7,0.00000278832,0.001076846,0.01043051,0.0007038448,0.0006011019,0.00003666023,0.01153793],"study_design_scores_gemma":[0.00008107108,0.00001345812,0.9740644,0.000005826019,3.146594e-7,0.000003232628,0.01272424,0.001651755,0.001798507,0.00009068925,0.009475095,0.0000914607],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9138539,0.000005112999,0.0001323943,0.001314432,0.00008220418,0.00003832288,3.838531e-8,0.00002687083,0.08454674],"genre_scores_gemma":[0.9979889,0.00001359777,0.0005154242,0.0001625817,0.000006419554,0.000001853023,5.704641e-7,0.000003084944,0.001307509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09353685,"threshold_uncertainty_score":0.4601124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01583839341851962,"score_gpt":0.284746396455296,"score_spread":0.2689080030367764,"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."}}