{"id":"W2915219649","doi":"10.5962/bhl.title.114023","title":"Researching amphibian numbers in Alberta (RANA) 2002 provincial summary /","year":2003,"lang":"en","type":"book","venue":"","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Amphibian; Rana; Geography; Forestry; Zoology; Biology; Ecology; Anatomy","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":[0.0002406397,0.0001504905,0.00009422637,0.002655783,0.0007313702,0.0007842911,0.0004124198,0.00009076984,0.007678853],"category_scores_gemma":[0.0004089128,0.0001511759,0.00008707598,0.003971534,0.0001673038,0.0001822406,0.000169035,0.0001774398,0.001341506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005389491,"about_ca_system_score_gemma":0.00387666,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9425291,"about_ca_topic_score_gemma":0.9904702,"domain_scores_codex":[0.999787,0.000007270085,0.000007850766,0.00002123438,0.0001400781,0.00003657865],"domain_scores_gemma":[0.9994729,0.00002688659,0.00005082142,0.00001412096,0.0003663238,0.00006881111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009779182,0.00005207144,0.6399873,0.0004963028,0.00003679693,0.000501729,0.002549068,0.0008547481,0.0036464,0.001757137,0.09647632,0.2535442],"study_design_scores_gemma":[0.00000498782,0.00002280345,0.9174484,0.000057684,0.00002046046,0.0002804448,0.0009703395,0.0004342065,0.0006510781,0.00005625143,0.0800432,0.00001014094],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7445263,0.0101206,0.0007157284,0.000786193,0.0001025808,0.0001067287,0.04891811,0.0006004616,0.1941233],"genre_scores_gemma":[0.7861066,0.00791227,0.004040491,0.0001599661,0.00004399975,0.00005554711,0.04114046,0.0001058418,0.1604347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05747092,"threshold_uncertainty_score":0.1156187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01114998556455667,"score_gpt":0.2253055238689891,"score_spread":0.2141555383044324,"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."}}