{"id":"W2037787335","doi":"10.3138/jvme.0813-112r1","title":"Canine Theriogenology for Dog Enthusiasts: Teaching Methodology and Outcomes in a Massive Open Online Course (MOOC)","year":2014,"lang":"en","type":"article","venue":"Journal of Veterinary Medical Education","topic":"Higher Education Practises and Engagement","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Science and Engineering Research Board","keywords":"Massive open online course; Grading (engineering); Medical education; General partnership; Theriogenology; Online course; Commit; Discussion board; Psychology; Audience response; Course evaluation; Medicine; Higher education; Mathematics education; Multimedia; Engineering; Computer science; Political 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005442264,0.00007287376,0.0002585278,0.0001047733,0.0001818221,0.00004250005,0.0003226014,0.0001000747,0.0003992953],"category_scores_gemma":[0.005959899,0.0000588453,0.00003758902,0.00006831145,0.0001260264,0.0002579695,0.00006612793,0.0003121508,0.000001050621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000126564,"about_ca_system_score_gemma":0.001431336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00138138,"about_ca_topic_score_gemma":0.0007540189,"domain_scores_codex":[0.9976531,0.001438998,0.0003882752,0.000116686,0.0002327329,0.0001702182],"domain_scores_gemma":[0.9981497,0.001109191,0.0003414646,0.00008146583,0.0001103575,0.0002078314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003221302,0.004455941,0.02611761,0.0000724338,0.0001475314,0.0000196384,0.09487577,0.00001574423,0.0003711006,0.03888949,0.008054685,0.826658],"study_design_scores_gemma":[0.001390051,0.001348581,0.1474229,0.000110959,0.00005826767,0.0001096506,0.04563127,0.00005766411,0.000002364448,0.002658002,0.8010699,0.0001403708],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8947077,0.0002088513,0.002062656,0.09998434,0.001877187,0.0002533483,0.000002047711,0.000004400717,0.0008995199],"genre_scores_gemma":[0.9663739,0.0002261855,0.03011219,0.002200514,0.0005897943,0.00002897645,0.00000513685,0.000008179086,0.0004551437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8265176,"threshold_uncertainty_score":0.7134986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2199769218954959,"score_gpt":0.532934421326773,"score_spread":0.3129574994312772,"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."}}