{"id":"W2119839602","doi":"10.21432/t2101p","title":"Using cloud-computing applications to support collaborative scientific inquiry: Examining pre-service teachers’ perceived barriers towards integration / Utilisation d'applications infonuagiques pour appuyer la recherche scientifique collaborative","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Learning and Technology","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychology; Pedagogy; Cloud computing; Sociology; Humanities; Library science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.007078318,0.0003156084,0.0006065606,0.001157623,0.003646592,0.006432633,0.001111563,0.001229668,0.003237797],"category_scores_gemma":[0.02732508,0.000783814,0.0004893454,0.0009302492,0.002098019,0.002887121,0.002987033,0.002588648,0.001041999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002642659,"about_ca_system_score_gemma":0.007850124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01543412,"about_ca_topic_score_gemma":0.01964788,"domain_scores_codex":[0.9944264,0.001933259,0.0004170201,0.0003603143,0.00144862,0.001414348],"domain_scores_gemma":[0.9676771,0.01340175,0.00503794,0.0008913748,0.005163361,0.00782848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001453164,0.001787516,0.262603,0.0008512622,0.00003803087,0.00110455,0.6848568,0.0001528838,0.00390374,0.00127012,0.001760153,0.04152658],"study_design_scores_gemma":[0.00003063698,0.0008548294,0.1877644,0.0005946118,0.00004884805,0.0004806676,0.7863881,0.001034903,0.001243845,0.0005638247,0.02092471,0.00007054704],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967758,0.0001658612,0.000396187,0.0006316468,0.00001204179,0.00005439927,0.00001339771,0.000009648646,0.001941049],"genre_scores_gemma":[0.9970852,0.0004930582,0.0008850945,0.0002077267,0.000005671239,0.00009126637,0.0000188734,0.00001232452,0.001200868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01543412,"threshold_uncertainty_score":0.03743416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1179744137621942,"score_gpt":0.3923411874512918,"score_spread":0.2743667736890976,"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."}}