{"id":"W6912784539","doi":"10.5281/zenodo.4138570","title":"【 \"Spontaneous (2020)\" 】 2019™ Teljes Film Videa magyarul letöltés she","year":2020,"lang":"hu","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Digital Media and Philosophy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Spontaneous magnetization; Movie theater; Amplified spontaneous emission; Spontaneous recovery; Spontaneous emission; Online video; Spontaneous combustion","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000545326,0.0004375374,0.0004178247,0.0002090756,0.002027611,0.004206016,0.004343916,0.0001669989,0.01796447],"category_scores_gemma":[0.001439245,0.0004732506,0.0001845303,0.001560139,0.0003455379,0.001104103,0.00451887,0.0007316957,0.080717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001572313,"about_ca_system_score_gemma":0.00002176729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001738585,"about_ca_topic_score_gemma":1.86274e-7,"domain_scores_codex":[0.9955899,0.0005746339,0.000598709,0.001261753,0.001061257,0.0009137078],"domain_scores_gemma":[0.9968863,0.0001091967,0.0002295529,0.001051873,0.0007146081,0.001008465],"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":[0.0001697924,0.0002758448,0.000002004602,0.0002239085,0.0001108314,0.002173157,0.005089473,0.0001659044,0.001502941,0.02228082,0.7211474,0.246858],"study_design_scores_gemma":[0.0005973834,0.00106704,0.00008490645,0.00007670458,0.00003107678,0.001438328,0.000144416,0.006335733,0.0002862849,0.001094761,0.9883094,0.0005339421],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.009864827,0.002197325,0.03029946,0.07095147,0.002058327,0.002116011,0.002031496,0.00467365,0.8758074],"genre_scores_gemma":[0.9836062,0.0005314404,0.001139249,0.003962825,0.001937498,8.074093e-8,0.001440258,0.002750513,0.004631922],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9737414,"threshold_uncertainty_score":0.9997719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0352647906912525,"score_gpt":0.2270183770805524,"score_spread":0.1917535863892999,"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."}}