{"id":"W1873408750","doi":"10.14742/ajet.1760","title":"Using Internet surveys to gather research data from teachers: Trials and tribulations","year":2002,"lang":"en","type":"article","venue":"Australasian Journal of Educational Technology","topic":"Survey Methodology and Nonresponse","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Social Sciences and Humanities Research Council of Canada; University of Alberta","keywords":"The Internet; Computer science; Process (computing); Work (physics); Survey methodology; Online research methods; World Wide Web; Survey data collection; Web application; Data science; Survey research; Psychology; Applied psychology; Engineering","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.4519069,0.001564832,0.00251812,0.006453613,0.003522774,0.003124603,0.002505109,0.003556786,0.0025515],"category_scores_gemma":[0.5970177,0.001638402,0.001650698,0.0132107,0.005502942,0.005584925,0.004860703,0.003043007,0.001344089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002438151,"about_ca_system_score_gemma":0.00673316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001211864,"about_ca_topic_score_gemma":0.001592163,"domain_scores_codex":[0.291834,0.6427995,0.03995197,0.004985345,0.01895978,0.001469509],"domain_scores_gemma":[0.273737,0.5754596,0.03109849,0.06688715,0.04976327,0.003054585],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01374129,0.009162195,0.04811687,0.01829648,0.003205629,0.0002596327,0.02768589,0.002861323,0.001938647,0.02038627,0.009685248,0.8446606],"study_design_scores_gemma":[0.03565304,0.2670716,0.1043096,0.05322244,0.005939254,0.002226636,0.05297101,0.01847141,0.02809815,0.04866077,0.3820861,0.001289839],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.481542,0.02756456,0.1913243,0.006242268,0.003862124,0.2459872,0.001319695,0.001102247,0.04105566],"genre_scores_gemma":[0.5549331,0.01163326,0.2088171,0.004428473,0.0009436411,0.2139416,0.0008755977,0.0003950497,0.004032211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5480931,"threshold_uncertainty_score":0.6758965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8120030224891096,"score_gpt":0.6104019259512383,"score_spread":0.2016010965378713,"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."}}