{"id":"W4385282380","doi":"10.56617/tl.3934","title":"Gyomvizsgálatok Pest megyei homoki mezőgazdasági területeken (lucernaföldek gyomvizsgálatai) I.","year":2011,"lang":"hu","type":"article","venue":"Tájökológiai Lapok","topic":"Hungarian Social, Economic and Educational Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Physics; Animal science; Horticulture; Chemistry; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007354922,0.0008001118,0.0007234535,0.001082091,0.001942601,0.004680572,0.0008842899,0.0016323,0.05994502],"category_scores_gemma":[0.000833195,0.0004062566,0.0008770257,0.001271539,0.0012844,0.002778691,0.003457892,0.002041836,0.01752427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002238589,"about_ca_system_score_gemma":0.002122692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008409088,"about_ca_topic_score_gemma":0.01794274,"domain_scores_codex":[0.9994556,0.00004770825,0.00002666296,0.0001429119,0.0002096442,0.0001173638],"domain_scores_gemma":[0.9996762,0.00005389393,0.00004030521,0.0000408871,0.0001293166,0.00005937],"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":[0.001746201,0.0006579745,0.04189822,0.004306564,0.0002938791,0.003091826,0.01494372,0.001672673,0.1030498,0.07606782,0.08329459,0.6689768],"study_design_scores_gemma":[0.00004135251,0.0002843419,0.049817,0.0005160809,0.0001401098,0.001118151,0.00921178,0.0003442776,0.01270411,0.01002313,0.9157151,0.00008445701],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2753073,0.01841222,0.02582031,0.008746966,0.003214218,0.0005754923,0.006525796,0.001404523,0.6599932],"genre_scores_gemma":[0.5308593,0.01066414,0.01929411,0.00284175,0.0003232976,0.0002449757,0.004971466,0.0009514078,0.4298496],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05994502,"threshold_uncertainty_score":0.2005361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1068094979646158,"score_gpt":0.288465251060996,"score_spread":0.1816557530963802,"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."}}