{"id":"W6931136720","doi":"10.5281/zenodo.4199244","title":"123.MOZI\" Spontaneous (2020)* FILMEK VIDEA-ONLINE MAGYAR TELJES scw","year":2020,"lang":"hu","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Child Development and Digital Technology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Headline; Population; Context (archaeology); Spontaneous order","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":[0.0006099947,0.0003411531,0.0003850626,0.000220489,0.003559168,0.001680831,0.002289543,0.0002633173,0.03888261],"category_scores_gemma":[0.00328694,0.0003800672,0.0001385516,0.001826956,0.0007883495,0.0005165352,0.002553945,0.000655313,0.0418662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002589323,"about_ca_system_score_gemma":0.00003442274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005593115,"about_ca_topic_score_gemma":0.000008213037,"domain_scores_codex":[0.996313,0.0004359185,0.0005788861,0.0009131079,0.0008631748,0.0008959225],"domain_scores_gemma":[0.997979,0.00008288855,0.0002342253,0.0004724583,0.0006172946,0.0006141549],"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":[0.0002638174,0.0003893039,0.00002142192,0.0001383496,0.0001353577,0.001008405,0.01404055,0.00001961517,0.001155572,0.01722478,0.6670587,0.2985441],"study_design_scores_gemma":[0.0005779933,0.0004326224,0.000441937,0.00004706815,0.000029543,0.0002617867,0.004012306,0.0001830772,0.0001484344,0.0005810989,0.9928415,0.000442658],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1903038,0.001333613,0.0009917859,0.06503562,0.0008293919,0.001996322,0.001941319,0.005968,0.7316002],"genre_scores_gemma":[0.9834651,0.001410891,0.0005518486,0.00211819,0.001042232,4.433221e-8,0.002428427,0.001725422,0.007257862],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7931613,"threshold_uncertainty_score":0.9998651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04148157837064415,"score_gpt":0.2591435179905278,"score_spread":0.2176619396198837,"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."}}