{"id":"W1650265984","doi":"","title":"LIGHTCURVES ANALYSIS OF 12 ASTEROIDS FROM LEURA OBSERVATORY","year":2006,"lang":"en","type":"article","venue":"MPBu","topic":"Leaf Properties and Growth Measurement","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Asteroid; Light curve; Observatory; Physics; Astronomy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001071032,0.00007552563,0.0001760005,0.00001051464,0.0000555637,0.00002306271,0.0001493533,0.00004229908,0.00063183],"category_scores_gemma":[0.000007896819,0.00002420372,0.0001312391,0.0002843091,0.00002744136,0.00005486979,0.00003304361,0.0000357872,0.00001652216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001225025,"about_ca_system_score_gemma":0.000002368052,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006657408,"about_ca_topic_score_gemma":0.005339719,"domain_scores_codex":[0.9992886,0.00004269079,0.0001855962,0.0001609432,0.0001938733,0.0001283383],"domain_scores_gemma":[0.999769,0.00003981687,0.00006411362,0.00005736345,0.0000402433,0.00002949429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001555022,0.00008576004,0.5013901,0.000002454498,0.0001364119,0.000001206533,0.00004656844,0.0000287952,0.4833068,0.00007756349,0.001537128,0.01337171],"study_design_scores_gemma":[0.00004873855,0.00005641899,0.9576831,0.000004463283,0.00009528393,3.914883e-8,0.00005892308,0.00009006268,0.01664229,0.0001094209,0.02513284,0.00007837647],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971063,0.0005403498,0.000002551724,0.0004841301,0.00005745916,0.00004295824,0.00004175831,0.00002158429,0.001702884],"genre_scores_gemma":[0.9988878,0.000006932047,0.00004062973,0.0001475467,0.0001471244,0.000003433808,0.00007362207,3.967328e-7,0.0006924992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4666645,"threshold_uncertainty_score":0.9999573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0427690690947404,"score_gpt":0.1903565192385779,"score_spread":0.1475874501438375,"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."}}