{"id":"W2126367292","doi":"10.1027/1614-2241/a000032","title":"Two-Part Modeling of Semicontinuous Longitudinal Variables","year":2011,"lang":"en","type":"article","venue":"Methodology","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Covariate; Outcome (game theory); Zero (linguistics); Mathematics; Statistics; Variable (mathematics); Interpretation (philosophy); Econometrics; Range (aeronautics); Latent variable; Growth curve (statistics); Maximum likelihood; Continuous variable; Computer science; Mathematical economics; Engineering; Mathematical analysis","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":[0.01918726,0.001737166,0.002572543,0.002172254,0.0009791277,0.003445624,0.006183076,0.003104153,0.007653124],"category_scores_gemma":[0.03943049,0.001964365,0.003295989,0.002696443,0.003450868,0.003930799,0.004169484,0.003702198,0.001067715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001720236,"about_ca_system_score_gemma":0.002436438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009595095,"about_ca_topic_score_gemma":0.009593559,"domain_scores_codex":[0.9906095,0.00564895,0.0003610131,0.001694094,0.001026629,0.0006597505],"domain_scores_gemma":[0.9646271,0.02644243,0.00408863,0.002510273,0.001626463,0.0007050685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004119205,0.0002210626,0.02509646,0.0001907855,0.0005372377,0.0009061423,0.001548338,0.4070609,0.001135505,0.5276424,0.001449657,0.03379949],"study_design_scores_gemma":[0.00003756948,0.0001102489,0.003150979,0.00005578842,0.00007850145,0.0001312167,0.0001034669,0.8392617,0.0002639669,0.1551114,0.001638621,0.00005657786],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05053259,0.0005110246,0.9443005,0.0009936449,0.00009550725,0.0001667351,0.0006459872,0.0002598375,0.002494225],"genre_scores_gemma":[0.7434474,0.001360879,0.2308038,0.0005063431,0.0002273929,0.001449172,0.001792199,0.0001702034,0.02024261],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01918726,"threshold_uncertainty_score":0.1014732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4818602629013894,"score_gpt":0.4386533427494478,"score_spread":0.04320692015194161,"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."}}