{"id":"W1505350108","doi":"","title":"What I learned in Attawapiskat: An Earth Science Outreach Adventure","year":2012,"lang":"en","type":"article","venue":"Geoscience Canada","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Outreach; Multitude; Public relations; Exhibition; Government (linguistics); Political science; Work (physics); Sociology; Engineering; Geography; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001349329,0.0001591603,0.00014401,0.0001115815,0.0003766722,0.0003485897,0.002108885,0.00005133817,0.00004292002],"category_scores_gemma":[0.000255597,0.000144651,0.00002155367,0.001699475,0.0003135602,0.004583118,0.000388009,0.0002276517,0.00001074655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001625879,"about_ca_system_score_gemma":0.001764871,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1349149,"about_ca_topic_score_gemma":0.2955472,"domain_scores_codex":[0.997224,0.00005215713,0.0001997486,0.0006218358,0.0007704798,0.001131794],"domain_scores_gemma":[0.998475,0.00004142768,0.00008006216,0.0007853928,0.000115733,0.0005023776],"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":[0.00002102965,0.0009381339,0.342241,0.0001523631,0.00001246427,0.0004353858,0.01930598,0.006491091,0.0821408,0.1201002,0.00503731,0.4231243],"study_design_scores_gemma":[0.000791821,0.0001628179,0.497974,0.0001662342,0.000005758585,0.0002968285,0.006822368,0.05175507,0.03583497,0.003484152,0.4010029,0.001702982],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9689139,0.0006462676,0.005041625,0.009892079,0.004503501,0.0002454684,0.000003275915,0.0001256122,0.01062833],"genre_scores_gemma":[0.9940197,0.00001493749,0.00243122,0.001081437,0.00007069432,0.000008808157,0.000001916667,0.000001783607,0.002369536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4214213,"threshold_uncertainty_score":0.8708457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01779750821488159,"score_gpt":0.2411938952753455,"score_spread":0.2233963870604639,"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."}}