{"id":"W204457991","doi":"10.1023/a:1009984921053","title":"Introduction to the Special Issue: What Can One Learn from Box-Plane Intersections?","year":2000,"lang":"en","type":"article","venue":"Reliable Computing","topic":"Wildlife-Road Interactions and Conservation","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001799011,0.0001068103,0.0001024575,0.00002903857,0.00041934,0.0002260633,0.0001813412,0.00004118841,0.03386687],"category_scores_gemma":[0.00002932685,0.00009394031,0.00003726648,0.0003285245,0.00003766545,0.0003550024,0.00008264164,0.0002120482,0.006063828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002182214,"about_ca_system_score_gemma":0.000007464184,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007712435,"about_ca_topic_score_gemma":0.001163197,"domain_scores_codex":[0.9989843,0.00004818573,0.0002154885,0.000334656,0.0001993518,0.0002179539],"domain_scores_gemma":[0.9995303,0.00004581248,0.00005662582,0.0002921721,0.00001285676,0.00006223597],"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":[0.00004085406,0.00006884999,0.002644538,0.000001705001,0.00001848842,0.000001355101,0.001684086,0.07306496,0.001109857,0.00001190197,0.522997,0.3983563],"study_design_scores_gemma":[0.0001038501,0.00005431781,0.01572837,0.00004461564,0.00001253796,0.00001047031,0.0009340087,0.009305073,0.0005562793,0.00004959094,0.9730686,0.0001322762],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9593315,0.00002751348,0.0008045432,0.02663263,0.002321494,0.0002059386,0.000003236767,0.00007774438,0.01059541],"genre_scores_gemma":[0.9318224,0.0001677807,0.003308771,0.005071164,0.0331175,0.00001521424,0.00008170271,0.00003505235,0.02638045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4500716,"threshold_uncertainty_score":0.9988953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008658628500872595,"score_gpt":0.2132866465933397,"score_spread":0.2046280180924671,"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."}}