{"id":"W4398396436","doi":"10.7910/dvn/5kl1nq/j7dx8w","title":"SITECODES.tab","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Wildlife-Road Interactions and Conservation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; University of Alberta","funders":"","keywords":"Biodiversity; Geography; Line (geometry); Transmission (telecommunications); Telecommunications; Ecology; Computer science; Biology; Mathematics","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009239704,0.002882206,0.001977779,0.006514699,0.0009911801,0.003708008,0.003418229,0.002571512,0.3197784],"category_scores_gemma":[0.006985411,0.001346459,0.001271061,0.01445563,0.0005447154,0.00316328,0.002863511,0.00250804,0.3483254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002024778,"about_ca_system_score_gemma":0.002732177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03359936,"about_ca_topic_score_gemma":0.04487431,"domain_scores_codex":[0.998892,0.0001501569,0.0001478275,0.0003553843,0.0002294551,0.0002252854],"domain_scores_gemma":[0.9969478,0.0008555003,0.0003243019,0.0007672452,0.0007207446,0.0003843192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001886764,0.000006535449,0.0002442568,0.0003342645,0.000009955358,0.000006727183,0.00001245632,0.0000926755,0.00002538147,0.0004052143,0.997833,0.001010753],"study_design_scores_gemma":[0.0001247379,0.000006180325,0.001291248,0.000233443,0.00001193201,0.0000198474,0.0000449373,0.0001432622,0.0001177895,0.001340599,0.9966469,0.00001906208],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001934968,0.00002449158,0.00002247108,0.00002667705,0.00001117812,0.000002514721,0.9989867,0.0002640444,0.000642554],"genre_scores_gemma":[0.000249312,0.00006096121,0.0001268896,0.00005148598,0.000007185188,0.00003354429,0.9983515,0.0002333835,0.0008858219],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6802216,"threshold_uncertainty_score":0.9702535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01526183877606499,"score_gpt":0.2351357464238263,"score_spread":0.2198739076477613,"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."}}