{"id":"W4404908517","doi":"","title":"Defying STIgma in It Follows","year":2018,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Computational Physics and Python Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dawson College","funders":"","keywords":"Stigma (botany); Psychology; Psychiatry","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000848588,0.0001821253,0.0003471259,0.0005368497,0.0002731668,0.001434376,0.004174762,0.00004870215,0.001007475],"category_scores_gemma":[0.00008563614,0.0001806229,0.0001127227,0.001829805,0.00008749447,0.002288923,0.001422619,0.000225096,0.00008095934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006730294,"about_ca_system_score_gemma":0.0001912834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005611953,"about_ca_topic_score_gemma":0.0001334924,"domain_scores_codex":[0.9980384,0.0001185953,0.0005917687,0.0004351726,0.0005275104,0.0002885152],"domain_scores_gemma":[0.9981436,0.0003570301,0.0004191238,0.000583423,0.0003281299,0.000168704],"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":[0.00008757478,0.001082905,0.2976486,0.0000854315,0.0001926486,0.00005608273,0.002238833,0.003470058,0.0714777,0.1152409,0.183482,0.3249373],"study_design_scores_gemma":[0.0005108571,0.0000116898,0.6318208,0.0001927813,0.00001456346,0.00001060921,0.00002573147,0.02004769,0.005619863,0.3084111,0.03285746,0.0004768511],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5135826,0.003094124,0.4392478,0.002311081,0.001084606,0.0008040348,0.00002045899,0.0001031136,0.03975222],"genre_scores_gemma":[0.991268,0.0002772012,0.007289962,0.0007253728,0.0002101091,0.00003933851,0.000003666766,0.00001786046,0.0001684919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4776854,"threshold_uncertainty_score":0.9999058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2802059875318605,"score_gpt":0.5617979526497741,"score_spread":0.2815919651179135,"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."}}