{"id":"W4245353175","doi":"10.1079/9781845932756.0079","title":"Some discrete probability distributions: describing data that are counted.","year":2019,"lang":"en","type":"book-chapter","venue":"CABI eBooks","topic":"Forest ecology and management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Statistics; Mathematics; Computer science","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":[0.00821679,0.001669402,0.001294397,0.003782775,0.001141177,0.005968247,0.002943668,0.002409115,0.01015039],"category_scores_gemma":[0.03300948,0.001076139,0.001328299,0.006489963,0.004718114,0.01341961,0.002607571,0.006149601,0.004860851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002289151,"about_ca_system_score_gemma":0.001751721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001834118,"about_ca_topic_score_gemma":0.001682143,"domain_scores_codex":[0.9936587,0.002470972,0.0005982971,0.0009429998,0.002169142,0.0001599373],"domain_scores_gemma":[0.9846777,0.0120816,0.0004802984,0.001447949,0.001119631,0.0001928751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001622141,0.00002140371,0.0003807081,0.0003621037,0.0000300682,0.0001607529,0.0005378317,0.002762134,0.0003030806,0.8923992,0.02289707,0.08012945],"study_design_scores_gemma":[0.000004508463,0.00001339201,0.0002389397,0.0002052943,0.00001111852,0.0005882753,0.0001185657,0.01027812,0.0002528754,0.8871126,0.1011468,0.00002951228],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001024491,0.009955221,0.95422,0.002838005,0.001028436,0.0001357333,0.001118834,0.0004301389,0.02924905],"genre_scores_gemma":[0.05452187,0.02050275,0.8716644,0.005009917,0.003139484,0.001437142,0.00363065,0.0009371609,0.03915667],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01015039,"threshold_uncertainty_score":0.043455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06568810520302856,"score_gpt":0.2356567111455999,"score_spread":0.1699686059425714,"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."}}