{"id":"W7053295202","doi":"","title":"\"You must be careful. Never talk nonsense, and don't talk too much.\"","year":2017,"lang":"en","type":"other","venue":"University of Pittsburgh Digital Library","topic":"Magneto-Optical Properties and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subject (documents); Interview; Qualitative research; Semi-structured interview; Everyday life","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002506605,0.0005743634,0.0002973118,0.0004723454,0.007324065,0.00149768,0.0007723358,0.00162591,0.02762266],"category_scores_gemma":[0.007679671,0.0002954956,0.0001767317,0.0004104655,0.002369257,0.002832619,0.002014499,0.004223985,0.019569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001073444,"about_ca_system_score_gemma":0.002112282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007575003,"about_ca_topic_score_gemma":0.01960389,"domain_scores_codex":[0.9973766,0.001533315,0.00009146873,0.0001558365,0.0004900749,0.0003528046],"domain_scores_gemma":[0.9970163,0.0006007455,0.0002668779,0.0002010838,0.001364336,0.0005507503],"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":[0.00006199547,0.00008880678,0.002900296,0.0002211962,0.000005982245,0.0005280407,0.154015,0.00003451104,0.00173381,0.01668889,0.7787174,0.04500408],"study_design_scores_gemma":[0.000008346934,0.00003730515,0.003233155,0.0001871742,0.000003544744,0.0006612518,0.1401296,0.00009429247,0.0004823368,0.001566514,0.8535646,0.00003192952],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1306374,0.003196804,0.0162426,0.1776569,0.01542202,0.001365352,0.001534617,0.001197774,0.6527466],"genre_scores_gemma":[0.3226543,0.001890379,0.006604761,0.06350645,0.0008503235,0.001117037,0.0004620292,0.000310805,0.6026039],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9723774,"threshold_uncertainty_score":0.09240705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007222642783367635,"score_gpt":0.1532310930191135,"score_spread":0.1460084502357459,"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."}}