{"id":"W37201201","doi":"10.1021/acs.analchem.3c00092","title":"The attributes of successful dropouts","year":2005,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Early Childhood Education and Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.004580641,0.0007254269,0.001074505,0.001345188,0.002027848,0.003061585,0.001564628,0.001380681,0.01769214],"category_scores_gemma":[0.01815614,0.000366533,0.0007529975,0.002152286,0.001157729,0.002011709,0.002649042,0.00176916,0.009929666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001381796,"about_ca_system_score_gemma":0.001878675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00148337,"about_ca_topic_score_gemma":0.001060072,"domain_scores_codex":[0.9955904,0.0007951005,0.0004762875,0.0009784913,0.001397296,0.0007624939],"domain_scores_gemma":[0.9880359,0.002285243,0.002119631,0.002690524,0.003648717,0.001220035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.004832524,0.001994599,0.2105611,0.001268476,0.0003242725,0.009437426,0.004461561,0.001194745,0.09784567,0.03286372,0.03783986,0.597376],"study_design_scores_gemma":[0.0004382293,0.004761984,0.2039748,0.0008117153,0.0009586004,0.04303563,0.007619832,0.00813105,0.2425804,0.03600638,0.4514429,0.0002385101],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8267669,0.009832514,0.07039925,0.00542126,0.001725115,0.001634842,0.005711422,0.004191978,0.07431661],"genre_scores_gemma":[0.9128435,0.003309925,0.01686292,0.002432243,0.0005015207,0.0009336097,0.005152749,0.001016904,0.05694659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01769214,"threshold_uncertainty_score":0.05918616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01538030599004817,"score_gpt":0.3101504109375713,"score_spread":0.2947701049475231,"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."}}