{"id":"W3024527638","doi":"10.1111/1751-7915.13576","title":"Visualizing the invisible: class excursions to ignite children’s enthusiasm for microbes","year":2020,"lang":"en","type":"letter","venue":"Microbial Biotechnology","topic":"Animal and Plant Science Education","field":"Psychology","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Science and Technology Facilities Council; Biotechnology and Biological Sciences Research Council; Novo Nordisk Fonden; Natural Environment Research Council; Sight Research UK; UK Research and Innovation","keywords":"Enthusiasm; Class (philosophy); Data science; Biology; Computer science; Psychology; Artificial intelligence; Social psychology","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.004068714,0.001177181,0.0009263777,0.001271964,0.009772361,0.01020774,0.002095921,0.0041294,0.03224571],"category_scores_gemma":[0.0111909,0.0005393156,0.001020614,0.0003998568,0.008205734,0.006235678,0.01170943,0.01051247,0.006965412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003890148,"about_ca_system_score_gemma":0.002010996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003263183,"about_ca_topic_score_gemma":0.007612329,"domain_scores_codex":[0.99581,0.001412489,0.00008039465,0.0005664692,0.0008042866,0.001326338],"domain_scores_gemma":[0.9920208,0.00180176,0.000607655,0.0003794341,0.000778153,0.004412238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0005076051,0.002095653,0.01337046,0.0005925418,0.00005140559,0.00230876,0.5432144,0.0001471582,0.006332596,0.01914002,0.3347711,0.07746833],"study_design_scores_gemma":[0.0001105796,0.0005492123,0.01029299,0.0005665286,0.00003790975,0.0007042815,0.2384777,0.0002734945,0.001637012,0.008766033,0.7384518,0.0001324366],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6916626,0.006529412,0.004582767,0.128259,0.01414689,0.0005323218,0.0006570085,0.001146385,0.1524836],"genre_scores_gemma":[0.8760869,0.002100129,0.004307986,0.02508686,0.002138066,0.0005690759,0.0003328958,0.001134738,0.08824336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03224571,"threshold_uncertainty_score":0.1078727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03204789146634274,"score_gpt":0.3049908077080504,"score_spread":0.2729429162417076,"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."}}