{"id":"W4292075324","doi":"10.1186/s40317-022-00298-8","title":"Wearable reproductive trackers: quantifying a key life history event remotely","year":2022,"lang":"en","type":"article","venue":"Animal Biotelemetry","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Global Positioning System; Computer science; Accelerometer; Geolocation; Wearable computer; Real-time computing; Telecommunications","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":[0.0008367706,0.0004208195,0.000364887,0.0010607,0.0001966315,0.0008461435,0.000376035,0.0005783185,0.001198015],"category_scores_gemma":[0.002634755,0.0001736759,0.0002881926,0.0006587028,0.0001752673,0.0004297845,0.0004683102,0.0003401108,0.000530233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001824005,"about_ca_system_score_gemma":0.0001369845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002380988,"about_ca_topic_score_gemma":0.006260782,"domain_scores_codex":[0.9994708,0.0001299862,0.00003790575,0.0001659857,0.0001553839,0.00003999104],"domain_scores_gemma":[0.9987478,0.0004925276,0.0003441116,0.0001286828,0.0002232392,0.000063669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004555459,0.0002395758,0.8529932,0.0003453733,0.0003672598,0.0002183727,0.0003201927,0.008828626,0.03438294,0.0003283443,0.002075733,0.09944486],"study_design_scores_gemma":[0.0000189078,0.0005864406,0.9262546,0.0000872904,0.0001328336,0.0005725537,0.0002717977,0.05950684,0.009383717,0.0003896268,0.002755994,0.00003925862],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9723644,0.0005177349,0.02099542,0.0001307586,0.00008919716,0.0001116319,0.002631418,0.0003304082,0.00282901],"genre_scores_gemma":[0.976837,0.0002032659,0.02011205,0.00009233558,0.00004809395,0.00009430717,0.001452994,0.00002050844,0.001139614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002380988,"threshold_uncertainty_score":0.004734218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04678754968330708,"score_gpt":0.2634388225238061,"score_spread":0.216651272840499,"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."}}