{"id":"W2908540893","doi":"10.4095/221130","title":"Introduction to the GSC MITE Point Sources project","year":2005,"lang":"en","type":"report","venue":"","topic":"Particle Detector Development and Performance","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Mite; Point (geometry); Computer science; Biology; Mathematics; Ecology; Geometry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004789377,0.001117202,0.000620542,0.007254837,0.001921347,0.00762113,0.002844416,0.001305499,0.1494417],"category_scores_gemma":[0.007619757,0.0005125419,0.0005745309,0.01304057,0.0008708681,0.002880787,0.003982762,0.001745267,0.0944695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008250443,"about_ca_system_score_gemma":0.01499472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2774463,"about_ca_topic_score_gemma":0.2247326,"domain_scores_codex":[0.99575,0.0004151379,0.0001846747,0.0004528739,0.002871203,0.0003261869],"domain_scores_gemma":[0.9930728,0.0003530475,0.0001716123,0.0008954402,0.004918343,0.0005886968],"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":[0.00004079445,0.00005557348,0.002092948,0.00016281,0.000009864426,0.00004559359,0.0001903783,0.0005072943,0.0001742671,0.01607818,0.7721283,0.2085139],"study_design_scores_gemma":[0.000008367013,0.000005914288,0.002008206,0.0001512239,0.000003261244,0.00002224226,0.0001510299,0.0002190231,0.0000799777,0.00217234,0.995169,0.000009358731],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003933097,0.005651186,0.03116916,0.01211551,0.001944771,0.002267609,0.2396214,0.008233737,0.6950634],"genre_scores_gemma":[0.03110657,0.01162718,0.07212458,0.003157547,0.0009612207,0.002223722,0.3720257,0.004288916,0.5024846],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2774463,"threshold_uncertainty_score":0.5516628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02208304372166155,"score_gpt":0.2765050167077701,"score_spread":0.2544219729861085,"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."}}