{"id":"W2995168496","doi":"","title":"LIGHTCURVE PHOTOMETRY OPPORTUNITIES: 2014 OCTOBER-DECEMBER.","year":2007,"lang":"en","type":"article","venue":"PubMed","topic":"Astronomical Observations and Instrumentation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Takeda (Canada)","funders":"","keywords":"Photometry (optics); Astronomy; Remote sensing; Geology; Meteorology; Geography; Physics; Stars","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":[],"consensus_categories":[],"category_scores_codex":[0.0005336018,0.0007119448,0.0003088812,0.006176717,0.000753505,0.001028912,0.0004453214,0.0003943198,0.04431826],"category_scores_gemma":[0.00107091,0.0002068912,0.0002820319,0.002826737,0.0001456626,0.001025599,0.001036826,0.0005860167,0.01661974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004734317,"about_ca_system_score_gemma":0.0004438378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003793328,"about_ca_topic_score_gemma":0.01329806,"domain_scores_codex":[0.9997526,0.000009772793,0.0000159043,0.00003533122,0.0001067985,0.00007969793],"domain_scores_gemma":[0.9984879,0.00009090346,0.0003231591,0.0001386496,0.0005434654,0.0004157776],"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":[0.001216604,0.000281156,0.1422917,0.0007840316,0.00009721638,0.0006369103,0.0003909256,0.0005868996,0.009701837,0.001678609,0.5363472,0.3059869],"study_design_scores_gemma":[0.00002720853,0.0001109918,0.3470374,0.0001023676,0.00001938902,0.0003657704,0.000155106,0.0002460988,0.002229691,0.0004506714,0.6492296,0.00002555814],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.1931819,0.003931525,0.007919051,0.001428759,0.001483076,0.0007967559,0.4932959,0.009741792,0.2882212],"genre_scores_gemma":[0.2592306,0.001937105,0.009838577,0.000535845,0.001213488,0.0003107068,0.5997252,0.0016484,0.1255601],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04431826,"threshold_uncertainty_score":0.1482593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03935608752402982,"score_gpt":0.2175640354995783,"score_spread":0.1782079479755485,"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."}}