{"id":"W4246435422","doi":"10.3410/f.1005264.29807","title":"Faculty Opinions recommendation of Early understanding and use of symbols: the model model.","year":2001,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Educational Assessment and Pedagogy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Data science","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":[0.003774452,0.002357689,0.00131285,0.005443409,0.0007830429,0.003774217,0.003782775,0.003113823,0.04382849],"category_scores_gemma":[0.02856112,0.0007632432,0.001886793,0.00657702,0.0003938186,0.002177168,0.001576323,0.002390746,0.06012645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002458599,"about_ca_system_score_gemma":0.004331308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05251248,"about_ca_topic_score_gemma":0.09904326,"domain_scores_codex":[0.9975776,0.0005939262,0.0002969356,0.0007353952,0.0005540662,0.000242112],"domain_scores_gemma":[0.9884469,0.003897275,0.001012309,0.003071462,0.002857169,0.0007148835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009736893,0.00004696439,0.003125763,0.0003789001,0.00003908269,0.00001092342,0.00001970583,0.0004700569,0.00005622923,0.0003506216,0.990485,0.004919429],"study_design_scores_gemma":[0.0007580705,0.00005512782,0.02651102,0.0005761418,0.0001692435,0.00007990329,0.0001790969,0.01079244,0.00103741,0.003042978,0.9567187,0.00007996396],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005740006,0.00006728014,0.0003236541,0.0002315757,0.00004601747,0.00004744298,0.9968408,0.0005045591,0.001364616],"genre_scores_gemma":[0.001831289,0.00005831213,0.0009049485,0.00006261523,0.00001201458,0.0001431134,0.995079,0.00007567613,0.00183293],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05251248,"threshold_uncertainty_score":0.1466209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2035695799324261,"score_gpt":0.4508946989394302,"score_spread":0.2473251190070041,"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."}}