{"id":"W6988086331","doi":"","title":"Yliopisto-opiskelijoiden huumausaineiden käyttö Lappeenrannassa : kvantitatiivinen tutkimus","year":2020,"lang":"fi","type":"other","venue":"Theseus (Ammattikorkeakoulujen)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Table (database); Population","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":[0.001139181,0.0003062437,0.000288136,0.0003525574,0.002481981,0.00393801,0.0004570886,0.001065772,0.0427442],"category_scores_gemma":[0.001225577,0.0001955165,0.0002666568,0.000388121,0.001180868,0.001773938,0.002773909,0.001599199,0.00666446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001762008,"about_ca_system_score_gemma":0.003921026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006727079,"about_ca_topic_score_gemma":0.02768373,"domain_scores_codex":[0.9992434,0.0001514484,0.00002931598,0.00009628654,0.0002538836,0.0002257702],"domain_scores_gemma":[0.9990712,0.000208624,0.00008901477,0.00004096232,0.0002932076,0.0002969418],"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":[0.001443562,0.0009278355,0.03959842,0.002217884,0.0000877143,0.003125427,0.03883714,0.0002696667,0.02447591,0.06520584,0.2210355,0.6027753],"study_design_scores_gemma":[0.00002296412,0.0003148331,0.02201348,0.0005404972,0.00004951034,0.000646128,0.02209572,0.00009416905,0.006496893,0.004140349,0.9435443,0.00004116288],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2676284,0.04432528,0.003295288,0.06078455,0.004150124,0.0002319421,0.0009638089,0.0002707223,0.61835],"genre_scores_gemma":[0.3751279,0.02491623,0.003479272,0.006735974,0.0007084383,0.0002120234,0.0006124894,0.0001475305,0.5880601],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0427442,"threshold_uncertainty_score":0.1429936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02664722052761037,"score_gpt":0.2735125174794781,"score_spread":0.2468652969518678,"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."}}