{"id":"W4321069895","doi":"","title":"Comparison of photometric phase curves resulting from various observation scenes","year":2021,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Calibration and Measurement Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Phase (matter); Computer science; Artificial intelligence; Remote sensing; Geology; Computer vision; Computer graphics (images); Physics","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":[0.0004095419,0.0005212859,0.0004049643,0.003115996,0.0004770689,0.0009250156,0.0003598236,0.0007405631,0.005527645],"category_scores_gemma":[0.001006076,0.0002477605,0.0005005045,0.003073232,0.0002635547,0.0005570289,0.0004864854,0.0006678578,0.001704714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004146921,"about_ca_system_score_gemma":0.0003661161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003123298,"about_ca_topic_score_gemma":0.004774672,"domain_scores_codex":[0.9996259,0.00003703031,0.00001318759,0.00008645373,0.0001171467,0.0001201601],"domain_scores_gemma":[0.9991384,0.0001768539,0.00006438063,0.0001325818,0.0004122666,0.00007557485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.004037032,0.0002928831,0.03091684,0.0006908454,0.0002568736,0.0003949037,0.0007050354,0.01611603,0.5895434,0.001997661,0.006877735,0.3481707],"study_design_scores_gemma":[0.0002085369,0.0004478056,0.6810172,0.00008265326,0.0004964534,0.001326604,0.0005277899,0.03577941,0.2556111,0.001677326,0.02264539,0.0001797288],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8199607,0.0007623199,0.1431378,0.0003363297,0.0002238995,0.0001198271,0.007544097,0.006091163,0.02182394],"genre_scores_gemma":[0.9454752,0.0005448331,0.04004713,0.00009267953,0.00005265313,0.00006188212,0.009045288,0.001356529,0.003323844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005527645,"threshold_uncertainty_score":0.0184918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04364213056328541,"score_gpt":0.2819402293535722,"score_spread":0.2382980987902867,"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."}}