{"id":"W6948812208","doi":"10.5281/zenodo.10720332","title":"Cite Right: MLA, APA, Chicago, Harvard, Vancouver--Oh My!","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"CLARITY; Citation; Style (visual arts); Compliance (psychology); Interpretation (philosophy)","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":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001602849,0.0008416565,0.001123847,0.003392649,0.006082456,0.01025677,0.001753681,0.003953937,0.7984926],"category_scores_gemma":[0.01546917,0.0006553943,0.0004824023,0.006447742,0.001475793,0.005472043,0.005058933,0.003805669,0.8102232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00312119,"about_ca_system_score_gemma":0.005344581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03300361,"about_ca_topic_score_gemma":0.07904183,"domain_scores_codex":[0.9986094,0.0001710306,0.0000896647,0.0001973979,0.0007786449,0.0001538224],"domain_scores_gemma":[0.9862692,0.001768638,0.0004410273,0.001553301,0.006688403,0.003279377],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007535585,0.000004312302,0.00007274706,0.00005307737,0.000001097305,0.00001990253,0.00006999214,0.000007931272,0.00008006681,0.0009473074,0.9760943,0.0226418],"study_design_scores_gemma":[0.000003315946,0.000002813131,0.0002179112,0.00005505913,9.760596e-7,0.00002087516,0.0001061759,0.00001712247,0.00005871202,0.0004523902,0.9990587,0.000005884939],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.0005816889,0.00158328,0.003651878,0.01514075,0.01202266,0.0002603946,0.01048628,0.01250419,0.9437689],"genre_scores_gemma":[0.002348982,0.001006189,0.001528648,0.002490025,0.0009488756,0.0001489229,0.003633849,0.00364318,0.9842514],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9983972,"threshold_uncertainty_score":0.2874258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0244215636470717,"score_gpt":0.2300605679302448,"score_spread":0.2056390042831731,"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."}}