{"id":"W4311075029","doi":"10.56617/tl.3447","title":"Egyes mézelő idegenhonos özönfajok értékelése ágazati interjúk alapján","year":2022,"lang":"hu","type":"article","venue":"Tájökológiai Lapok","topic":"Bioeconomy and Sustainability Development","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Physics; Stereochemistry; Molecular biology; Chemistry; Biology","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":[0.0003972557,0.000628229,0.0004314752,0.0007182635,0.001297792,0.002462223,0.0003404749,0.0007780263,0.02777371],"category_scores_gemma":[0.0005478977,0.0002220288,0.0002511466,0.0007589958,0.0004792488,0.001014175,0.00128971,0.0009028066,0.005617633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00102365,"about_ca_system_score_gemma":0.001785804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004279946,"about_ca_topic_score_gemma":0.007436358,"domain_scores_codex":[0.9997017,0.00004267573,0.00001678617,0.00006264922,0.00009744112,0.00007873019],"domain_scores_gemma":[0.9997739,0.00004644708,0.00004247385,0.00001366164,0.0000816471,0.00004186982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.00166551,0.0006860161,0.03172175,0.003778308,0.0001334834,0.01167706,0.01326259,0.002057661,0.03904551,0.0649861,0.05453428,0.7764518],"study_design_scores_gemma":[0.0000541867,0.0001296511,0.0408363,0.0007964883,0.00009298465,0.003271422,0.01048728,0.0006760369,0.005559817,0.003683632,0.9343535,0.00005865777],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5561425,0.03884172,0.007991735,0.01077829,0.002037215,0.0001533201,0.002031226,0.0007931626,0.3812309],"genre_scores_gemma":[0.7749539,0.0277124,0.01375697,0.001366202,0.0003280948,0.0001308361,0.00157312,0.0002776765,0.1799007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02777371,"threshold_uncertainty_score":0.09291232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00882998976595063,"score_gpt":0.184061403231239,"score_spread":0.1752314134652883,"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."}}