{"id":"W7101158722","doi":"","title":"Abstract Visual Odometry Aided by a Sun Sensor and an Inclinometer","year":2016,"lang":"en","type":"article","venue":"","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inclinometer; Odometry; Visual odometry; Mars Exploration Program; Odometer; Orientation (vector space); Position (finance); Tree traversal; Position error","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":[0.0002085891,0.0005274267,0.0004666145,0.0008822267,0.0004490431,0.0007632207,0.000724223,0.000249578,0.004047312],"category_scores_gemma":[0.000499205,0.000297567,0.0003268247,0.0007719778,0.0003563754,0.0004691518,0.0009240725,0.0003135725,0.001192269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006748674,"about_ca_system_score_gemma":0.001301961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03058684,"about_ca_topic_score_gemma":0.04797211,"domain_scores_codex":[0.9995863,0.00002715267,0.00001728988,0.0001007132,0.000223176,0.00004538607],"domain_scores_gemma":[0.9998052,0.00002228326,0.0000327832,0.00002826711,0.00009993836,0.00001156097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007458741,0.0001397675,0.03326663,0.000700576,0.0001161939,0.0002935736,0.0003343055,0.1069786,0.2395156,0.01107521,0.005127046,0.6017066],"study_design_scores_gemma":[0.0000842778,0.0005050836,0.06200581,0.0001455111,0.00009846113,0.000493358,0.0004959268,0.710703,0.1883861,0.004623218,0.03231636,0.000142941],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2440132,0.0005610813,0.7243723,0.0002738861,0.0001862281,0.000292515,0.001864423,0.004314465,0.02412194],"genre_scores_gemma":[0.872618,0.0004328396,0.1145333,0.000040431,0.00003456914,0.00007078073,0.0007778507,0.00007565098,0.01141676],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03058684,"threshold_uncertainty_score":0.0608176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02019709250745632,"score_gpt":0.3483498572708997,"score_spread":0.3281527647634433,"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."}}