{"id":"W6893564831","doi":"10.5281/zenodo.2604550","title":"MULTIPLE INTELLIGENCES AS BASIS FOR THE USE OF LEARNING STATION IN TEACHING BIOLOGY","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Emotional Intelligence and Performance","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Theory of multiple intelligences; Identification (biology); Usability; Teaching method; Period (music); Quarter (Canadian coin)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002337534,0.0005098347,0.0003813648,0.001309184,0.000676356,0.002525862,0.0007030091,0.0005075234,0.004060458],"category_scores_gemma":[0.01168732,0.0002502354,0.0005601395,0.0005816687,0.0008468098,0.0009007694,0.001834153,0.0008660553,0.000620766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005999597,"about_ca_system_score_gemma":0.000816607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000628182,"about_ca_topic_score_gemma":0.001105821,"domain_scores_codex":[0.9963089,0.00102014,0.0003345869,0.0004417433,0.001636819,0.0002577282],"domain_scores_gemma":[0.9904972,0.003843692,0.002291452,0.0008808323,0.001360029,0.001126752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006823982,0.002728125,0.5497374,0.001165611,0.0001691646,0.001448408,0.03921085,0.000809258,0.04874974,0.00283301,0.001292537,0.3511736],"study_design_scores_gemma":[0.00002183515,0.002577316,0.9485517,0.0002617504,0.0001752234,0.0007293923,0.02190481,0.001166493,0.01403678,0.001016165,0.00946477,0.00009377295],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913708,0.0001097052,0.002015925,0.00009890344,0.00001381144,0.0001043149,0.0000417652,0.00006917965,0.006175647],"genre_scores_gemma":[0.992097,0.0001459527,0.005421156,0.0000297264,0.000008683739,0.00006796942,0.00006604278,0.00001586037,0.002147557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004060458,"threshold_uncertainty_score":0.01358354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.131794287966873,"score_gpt":0.3489330000923945,"score_spread":0.2171387121255215,"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."}}