{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003183821,0.0004540572,0.0002737702,0.003458693,0.0005147007,0.0006108269,0.0001792784,0.0002779464,0.006309513],"category_scores_gemma":[0.0003649145,0.0001196543,0.0004779664,0.001920365,0.0001452497,0.0002973892,0.0004366571,0.0003662701,0.0032669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006809751,"about_ca_system_score_gemma":0.0003117916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008540438,"about_ca_topic_score_gemma":0.01720308,"domain_scores_codex":[0.9996852,0.00001422077,0.00001158469,0.00007213623,0.0001430347,0.00007389994],"domain_scores_gemma":[0.9995126,0.00002354124,0.00008450332,0.00006033464,0.0002063627,0.0001127665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001227303,0.000239985,0.505626,0.0005960679,0.0003255483,0.0009760592,0.002495279,0.006026448,0.208419,0.001072063,0.05083882,0.2221574],"study_design_scores_gemma":[0.000009172976,0.00005514414,0.9563624,0.00001506784,0.00002252189,0.0003095648,0.0001445644,0.0009902447,0.003882119,0.00009313207,0.03809199,0.00002390217],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9088781,0.0007674215,0.004246582,0.000229276,0.00007129356,0.0001115696,0.04014484,0.003364209,0.04218669],"genre_scores_gemma":[0.9185151,0.0004554659,0.006487885,0.00006120221,0.00008018087,0.0000517097,0.04900329,0.0007946442,0.02455069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008540438,"threshold_uncertainty_score":0.02110744,"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."}}